{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bike-Sharing-Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 任务描述\n",
    "请在 Capital Bikeshare (美国 Washington, D.C.的一个共享单车公司)提供的自行车数据上进行回归分析。训练数据为 2011 年的数据，要求预测 2012 年每天的单车共享数量。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据说明\n",
    "\n",
    "day.csv: 按天计的单车共享次数(作业只需使用该文件)\n",
    "\n",
    "\n",
    "字段说明\n",
    "\n",
    "Instant 记录号 \n",
    "\n",
    "Dteday:日期 \n",
    "\n",
    "Season:季节   1=春天 2=夏天 3=秋天 4=冬天\n",
    "\n",
    "yr:年份，(0: 2011, 1:2012)\n",
    "\n",
    "mnth:月份( 1 to 12)\n",
    "\n",
    "hr:小时 (0 to 23) (只在 hour.csv 有，作业忽略此字段)\n",
    "\n",
    "holiday:是否是节假日\n",
    "\n",
    "weekday:星期中的哪天，取值为 0~6 workingday:是否工作日   1=工作日 (非周末和节假日) 0=周末\n",
    "\n",
    "weathersit:天气  1:晴天，多云 2:雾天，阴天 3:小雪，小雨 4:大雨，大雪，大雾\n",
    "\n",
    "temp:气温摄氏度\n",
    "\n",
    "atemp:体感温度\n",
    "\n",
    "hum:湿度\n",
    "\n",
    "windspeed:风速\n",
    "\n",
    "casual:非注册用户个数\n",
    "\n",
    "registered:注册用户个数 \n",
    "\n",
    "cnt:给定日期(天)时间(每小时)总租车人数，响应变量 y\n",
    "\n",
    "注意:后三个特征均为要预测的 y，作业里只需对 cnt 进行预测 黑色标记的特征为输入特征 x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入必要的工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2 数据探索"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant     dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1 2011-01-01       1   0     1        0        6           0   \n",
       "1        2 2011-01-02       1   0     1        0        0           0   \n",
       "2        3 2011-01-03       1   0     1        0        1           1   \n",
       "3        4 2011-01-04       1   0     1        0        2           1   \n",
       "4        5 2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"/Users/admin/Desktop/Bike-Sharing-Dataset/day.csv\", parse_dates=['dteday'])\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  2.2 数据基本信息\n",
    "样本数目、特征维数\n",
    "每个特征的类型、空值样本的数目、数据类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(731, 16)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 数据探索\n",
    "\n",
    "对数据的探索有助于我们在第三步中根据数据的特点选择合适的模型类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data = data.drop(['instant'], axis=1)\n",
    "data = data.drop(['instant', 'casual', 'registered'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10c5750b8>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2,ncols=2)\n",
    "fig.set_size_inches(12, 9)\n",
    "fig.tight_layout()\n",
    "sns.boxplot(data=data,y=\"temp\",orient=\"h\",ax=axes[0][0])\n",
    "sns.boxplot(data=data,y=\"atemp\",orient=\"h\",ax=axes[0][1])\n",
    "sns.boxplot(data=data,y=\"hum\",orient=\"h\",ax=axes[1][0])\n",
    "sns.boxplot(data=data,y=\"windspeed\",orient=\"h\",ax=axes[1][1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如上图所示，hum湿度和windspeed风速可能存在异常值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "How many outliers with hum=0?  1\n"
     ]
    }
   ],
   "source": [
    "outlier_filter = data['hum'] == 0.\n",
    "count_outliers = outlier_filter.sum()\n",
    "print(f\"How many outliers with hum=0? \", count_outliers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(730, 13)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### 移除越界的hum\n",
    "data = data[~outlier_filter]\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a22847e10>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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o5OORpt/x9XtIdJ6b8b8cA2Mo5O2R7nh5hZ+fD3fWrMb8ed8BMH/ed9xZsxq+vt7p+q5dvYlLly4DsG/vAYwxePt4AXD+3IWUfkWLFcGyLNzc8s7bT3ef4hSqVp5z360H4Nx36ylUrTzu3ulfP3y7tufC2h+5dvREbocp/wK2/lYYY4oaY5YYY3YZY/YaYzoYY+42xqw3xmw3xnxvjAlw9u1ijNnm7DvfGFPE+Xh753N3GWM2OB8rZIyZZozZY4zZYYxp6nz8eWPMAmPMcmPM78aYUfZlf3PxDfAjPioOy7nbjuVwkBAdj19pv3R9/UqXIPZ4TMrXcSdi8Q3wu2EbwN3312X0yglMipjKt5PD+ePXtJ/4uufPR8NWjVn79eoczS8zpxPOU7J4MdydLyDubm6ULF6MqDMX0vTr+mA9IqPPcP9bU2n2xmc0qFyWu4JLp7Sv23OYx4bN4qF3pvFss9pUyODnllv8AvyIj4rH4RxLh8NBfHQ8vpmMZczx6JSvY0/E4BdgX+yZya3z8y+N2zYl6thp4k/HpWt78LkW7Fj7U5o3ljnFJ8CXhOvyPJPB2PmW9iPuujx8sjFut1cO5M7GtVj22bc5G3g2+Qb4ceZ0fNr8ouLxCfBN26+0H3EnUuV3MiZdH4CGbZsQfSyKhNPxKY898GJL3l8+lj5TXiOgfBkXZXJjBUr7cfV0/N87mDkcXI2Kp2Dp9Hn4NK/DXevHUeenME58spg/DxzLVpudCpb25erpuHT5FSiT/jz0bl6XO9eO564fJ3MybCGXnDkUqRKIV5NanJpiz/mYXcVK+3DxdAKWI/l33nJY/Bl1hmIZjOVfKrZrxLnIaC6eis+0j93K3BbAqVNRaV4rTp+OpsxtAVk+r0PHNhw9coxTJ/9evvl85yfY8tNy1mxcyIC+g0mIP+PS2P8/8gWUIDEq7bmaGB1PvoC0H5QXrBRE0UZ3Ez99oQ1R5kEOR97+dxOye/nig8BJy7IeBjDGFAeWAa0sy4oxxnQAhgGdgQWWZU119nsfeAGYCLwNPGBZ1gljjJfzuL0ALMuqYYypDKwwxlR0ttUC7gKuAL8aYyZalvVHbiQrN7Z91Ta2r9qGb2k/Xp06iB1rt3Pq8N/ruus2r0fcyRgi9x+xMcr0Vu74nQql/ZjS+zEuXrlKr7BFrNzxO/+5qwIATWoE06RGMKfiz9F/6nc0qlaOoFLpP22UvK9KvWp0eLkj7z/9Trq2Bi1DaNiqMe8+/oYNkf0z7vnceeGDHkx5dVJKUXQzq1SvKm0HPMGoZ4amPDb/wy85E52AZVk0fCyUV2YM5pXGPfN8vvErfiJ+xU8UKONHlWkDSVj9M5cOnbxh280iYcU2ElZso0AZPyp98Tpn1vzMlcgogj/swaH+k27aN1iZCbi3MnVebcuSJ0faHUqOa9CwLoPe7Eu7Vp3SPD79izlM/2IOVapW5NPPRrN+3eY8VZjdUD53/N/vy6nXx95y56PkHXbPH+8B7jfGjDTGNAJuB6oDK40xO4G3gNucfasbYzYaY/YATwHVnI9HANONMV0Ad+djIcAsAMuyDgCRwF9F2WrLss5alnUZ2A8EXh+UMaarMeYnY8xPU6ZMyeGUbx5N2t/HyKXjGLl0HLdXKotPKV+Mc8bIuLnhXdKH2JOx6Z4XezIGv9v+/oTJt4wfcadib9iWWtzJWA7u/J27m9VN83jTx5vl2iwZgL+3B9FnL5DkvAgnORxEn71AKa+0y6G+2rCLFnUq4eZm8ChckKY1gtn2+/F0xwvw8aR6YCk27M3dorJp+2Z8uHQ8Hy4dz+2VAvEp5ZOyfMTNzQ2fkj7EZTKWJW4rmfK1X5kSxGYwXnaw4/ysULsSvcf3Z3TXEWk+LACo+0A9Orz6NMOfHcLZ2LM5mutf4k/F4X1dnl4ZjF3cyVh8r8sj/gbj5lXSm1KB/rw67S3GbfqUBzo/QtMn7qfzCNfcG5eRuFOxePn7pM2vlA/xp9LOSMadjMU31T2ZvqVLpOlTvnZFuo3ry0ddR3I61TglRMWnzGBGLFhPoaKFMpxhyw1XT8ZSwN8H/lrG5eZGgVI+XDmZfvY15TknYrmw4yDe/7n7/9Vmhysn4yjg75suv6snMj8Pk3P4He/765C/lDcFg/ypPPst7vrhU/xffISSHe+n3KjcOx+z68LJeIr6e2PckpcsGzdDkVJeXMhgLEvVvoP7JvRgxQvjOZsHl2Q++dRjrN20iLWbFlG5akUCAkqlea3w9y/JieMZx13nnlqETR3Nsx17cvBgxq9xv+z/jdOno2kYco/Lcvj/SjwVQ75Sac/VfCV9SDz192x8vhI+5C/rz+1Th1J+zTS8n2uF1+MP4v/eSzZFLbciW4syy7J+A+4muTgbAbQF9lmWVcv5r4ZlWc2d3acDvS3LqgEMAQo5j9Gd5OLtdmCnMcaX5Ft8MnMl1f8nkcFsoWVZUyzLqmNZVp2uXbv+oxxvZuvmreG1Fv15rUV/Nsxfy9H9R2jYqhEADVs14uj+w5yPT3+j7tYlm2n2RHOMMXj4eFK3eT1+WLrlhm2lUy0l8vD2oFr9Ghw78PfyRR9/XyrfU5VNCze4Mu00fDyKUKlMCZZv/w2A5dt/o/JtJfHxKJKmXxlfTzY7b0y/lpjE1l+PcYfzzd6RVEunEi5cYtvvx7kji2UtrrB23mpebdGPV1v0Y/38Nc6xbAxAw1aNObL/MOcyGMstSyK43zlenj6e3NO8HluXbs7V2DOT2+dn+TvvoN+kVxjXYyRH9h5Oc8za99Xh2cGdGf7Mu2mWe+a0c3FnObb/CA1ahQDQoFUIkRnk+cOSzTR94v6UPOo0r8ePS7O+MT3uZCw97nqe/iHd6R/Sne+/+I61c1bxxaBPXZbP9c7HnePY/iPUfzQ5v/qPhnBs35F0+W1buoUmT/4nJb/aze/hp2XJ+ZW7szy9Jg5gUs/RRO5L+8bQu5RPyv9Xb1wLR5KDhAyWoOaGa7HnuLjvKCXaJN+jWaJNQy7uPUJiXNpcC9/x9zLofD4eFG9YjT9/OXbDNrslxp3lz31H8GudPJZ+rUO4uPcwideNZaE7/r7u5/PxwLNhdf48EMnVE7Fsr/48O+p1Z0e97pz+7Duiv1zFkYG5dz5m1+W4c8TtP8YdrZPva7yjdQNi90VyOf58mn4lagbTLKw3K7tNIHbvURsivbGv/ruApiGtaBrSirlfhrN3zy+0bf8IAG3bP8Ke3fuJi0tI97y7atfgs2nj6fTsS+zetT9NW4WK5VP+v2zgbdS4syq/HnDN7rT/i6T4s1z55TCej4QC4PlIKJf3HyIp4e9zNfFUDAfrPcmh+zpx6L5OJMxYxJmvl3N68ES7wraf5cjb/25Cti5fNMaUBuIty5ptjLkAdAVKGGPqW5a1xRiTH6hoWdY+wAM45XzsKeCE8xjlLcv6AfjBGNOS5OJsg7PPGueyxbLAr0Dt3M4xu4aPC2P1+ghi4xN4se8beHl6sOi/k+0OK43P3gyj55i+tO3zOBfPXuTjAeNT2l6fPpivx3zJ4T2H2LBgHXfUqsD49WEAzP/oa6L/SF5bnlXb/R0f4M7GtUi6loQx8P3MpezeuDPle4S2a8rPq7Zx8Wza+7lc7a0O9zF49gomL/sBzyIFef+ZBwDoFbaQng/Xp1rZUrz6WGPen7uGdsNn47As6lS4jccaVAfgm4g9bDlwjHzubmDBE41r0qBKugnaXDX5zU94aUw/2vfpwMWzF5iYaizfmP42c8d8yaE9B9mwYB0ValVi4vrkN0LzPpqbMl6V61Sh/6RXKVysCMZAw5aN+GTgRHZt2JFlm6u4+vx84f1uFChUgC7De6Ycd1L/8fzxayQ9Rr9E4rVEBoS9ltL2Xse3uXAm7ZuynPDFm5PpNuYlWvd5nItnLzB5wAQAXpn+JvPHzOHInkNsWrCe8rUqMHr9xwCEf/Q1Mc48KtapTO9JL1O4WGEwhvotQ5g68GP2bNiZ6ffMTTPenEKXMb1p1ac9F89dYMqA5Dc9A6a9yYKxczi65xARzvxGrZsEwKIJ81Lye/a9ruQvVIDnh3dLOeaU/hM4/usxuox5CU+/4liWxaXzfzK+ywgcSfa9eB8aOJkKE17i9gHtSTx7kd9fSs61yn/f4I9Rc7mw6xD+zzTHq0lNHNcSMcZwatpyzqzfBZBlW15w+PXJ3DH+Jcr0f5yksxc42Df5XK00602OfziHi7sPUerp5hQPrYmVmAQYTk9bxtk8lEN2bXz9C5qM70btfq25cvYia/smv34/NPMVto2eT+zuI4QMe558hQrQ6IPOKc9b2zeM+APpV1XkFS/3e4ePJ4/kldd6cebMOXp1HZjS9tU3Uxk57CN27tjLqLHvUqhwIcaMfy+lvWfXV/ll/2+89sZLVK5SgWvXEnEkJfHGwPf5/be8U5QBnH5nEgEjX8avV0eSzl3g1MDRANw2dQixH83m8t7fbY5Q/g2MK25Gz/Y3N+YB4EPAAVwDegCJwASgOMlF43jLsqYaY3oAA0leirgH8LAs63ljzAKgAsmzY6uBfkBB4FOSZ+ESgQGWZa01xjwP1LEsq7fz+38HjLYsa10WYVrXYg9n0Xzzyu8XDECHwNY2R+IacyMXcmnFJ3aH4TKFm/ekXeCjdofhMt9ELr5lz01IPj+fDnzM7jBcYnbkAgCeC2p7g543pxlH5xPh387uMFym4elv2Fr61jw3Ae49uYDJtz1tdxgu0+34bPw8K964400o9lzyqpUDFVvYHIlrVP5tKWS92ivPuLTq07yx1WsmCt/f/ab4OaZm60yZZVnfA99n0NQ4g75hQFgGj2f0ynEZeD6DvtNJXgb519ePZDtYERERERERF7B790UREREREbmZaBfKHGf37osiIiIiIiL/airKREREREREbKTliyIiIiIikn036bbzeZlmykRERERERGykokxERERERMRGWr4oIiIiIiLZp90Xc5xmykRERERERGykokxERERERMRGWr4oIiIiIiLZp+WLOU4zZSIiIiIiIjZSUSYiIiIiImIjLV8UEREREZHs0x+PznGaKRMREREREbGRijIREREREREbafmiiIiIiIhkn3ZfzHGaKRMREREREbGRijIREREREREbqSgTERERERGxke4pExERERGR7NOW+DlOM2UiIiIiIiI2UlEmIiIiIiJiI2NZlt0x5HX6AYmIiIhIbjB2B5Adl8I/yNPvjwu3ef2m+DmmpnvKsqFDYGu7Q3CJuZELAbgWe9jmSFwjv1/wLTt2kDx+HQPb2B2Gy3wZGU77wFZ2h+Ey8yIX3bLn51/Xloduf8jmSFxj2R/L6BbU3u4wXGby0Xl0uYXzm3p0HnUCGtkdhsv8dGoj7QIftTsMl/gmcjEAZ59rZnMkrlF8xmq7QxAbafmiiIiIiIiIjTRTJiIiIiIi2afdF3OcZspERERERERspKJMRERERETERlq+KCIiIiIi2efQ8sWcppkyERERERERG6koExERERERsZGWL4qIiIiISPZp+WKO00yZiIiIiIiIjVSUiYiIiIiI2EhFmYiIiIiIiI10T5mIiIiIiGSfZdkdwS1HM2UiIiIiIiI2UlEmIiIiIiJiIy1fFBERERGR7NOW+DlOM2UiIiIiIiI2UlEmIiIiIiJiIy1fFBERERGR7NPyxRynmTIREREREREbqSgTERERERGxkZYvioiIiIhI9llavpjTNFMmIiIiIiJiI82U5aCAcqXpObYPxbw8uHDmPB/3/4jTR0+l62fc3Og05EVqhtYGy2JR2HzWzFl1w7Ym7e+jxQuPYjks3NzdWP3VCpZPXwJAr7F9KVs5KOV7lK0SyOguI9i+apvrE8+GDydNZdW6CE6ciiJ8VhgVgoPsDikdO8fvsT6P06BlCI7EJJKSHMwZNYtdG3bmWG7+5UrTI1VuYRnkZtzceG7Ii9QMvQvLslgctoB1qfLKrK3H2D7cft25N7bLB/y8aluWbTktoFxpeo/tm5LjxP7jMxw/Nzc3Og3pQq3Qu8CC8LD5rJmz8oZtfykdXIZRS8fx/aylzBo2PeV7dxvRk6KeRclXMD+bv93EvPFzcjQ3V56bdzaqxRMDn6ZspUCWz1jCbGdeN2rsGIn3AAAgAElEQVRzlTLlyvDyuJfx8PbgfMJ5RvcbzcmjJ9P1c3Nzo/vQ7tRpUgfLsvj646/5fs73aY8VXIZJyyexZOYSPnv/MwAGjB3AXSF3cTb+LACblmxizsScG6+slCwXQKcxvSnqVYyLZy4wbcBEoo+eTtPHuLnxxLudqBZaC8uC5WHhRMxdk6ZPqeDSvLVkFOtmfc/84bMA6Dd7MMV8PAFwc3ejTKWyDH3wZU4cOJYruQGUcuZXzKsYF85c4ItM8nvSmR8WLAsLZ1MG+Q125veNM79Oo3tRpWENLiScB+CnJVtY+vGC3EksE2WDb+fdj96guHdxziac5Z0+w/jjyPF0/eqF1qXXoK7cUTmYuV/M56Ohn6S0vdD/OZq3akZSYhJJSUl8PGIKW9f9mJtppEi+jvbDw8uD82fOM7H/uEyvo52HdKFWaG0sCxaGfcNq57WyZqNadBz4DGUrBbFsxnfMHDYt5XlZteU2t1K3Ubjra5hinlgXznFpygc4ok6k6VOw9bMUaPYoVkIcAIm/7+PyrAkAFB04ClOseHJHd3fcbyvH+be64PjjcK7mIbcOFWU56MXh3fl+5jI2ha8npE0oXUb04L0n307Xr1HrxvgHBtAvtAfFvD0YuXQsezbtJuZ4dJZtPyzbwrp5yS9chYoWYvSKCezfupdjByL5eMBHKccPrBLE4K+GsmvDjlzL/UaaNarP0+1b81zPV+wOJVN2jt+hnb/x3ZSFXL18lcAqQbwzdxjd6nbi2pWrOZLbC8O7s2LmMiLC19OwTSgvjOjBsOtyC2ndGP9AfwaE9qSYtwfDl45h76ZdxB6PybItbMCElGOUrRLEm18NZbfz3MuqLad1Hd6D5TOXsjF8PY3ahNJtRE+GPDk4Xb+Q1qH4BwbQJ7QHHt4ejFo6jj2bdhFzPDrLNkh+I9J1eA+2rdia5phPD3qOrcs2s3zGUgoVKcTYlRPZsXY7B3f9niO5ufrcjDp2mimvf0y9h+qTv2CBNMfMqs1Veo/ozbczvmVt+FqatmnKSx+8xKAnBqXr17RNU0oHleaFRi/g6e3JpOWT2LFpB9GpxqvPB33Y8v2WdM/9+uOv+XbGty7P5XpPDevKupnL+WHhRuq1bsRTw7sxruOQNH3qtQ6hRJA/g5v0oai3B28tGcWBiD3EHY8Bkouap4Z3ZeeKtB9ujH/6vZT/r9m8Lq1efiJXCzKAp4d1ZW2q/J4Z3o0x1+V3b+sQSgb585Yzv7eXjOKX6/J7JoP8AJaFLWTtzOW5kkt2DBr5MvOmh7Ns/goeatucN0a9Qo/2/dL1OxF5kmGvjOK+h0MpcN3v0b4dvzD70zlcuXSFClXLM2XBRB6s1Zorl3Pm+v//0XV4T+d1dB2N2jSh24heDHnyrXT9GjmvlS+FdsfD24MPl45nt/NaGXUsik+d14zrc82qLbcVfr4fV1cv4trmVeRvcD+Fn+/PxZHp36Nci1jJ5TmT0z1+cdTAlP/PV7shhdp2+ncVZNp9Mcf9q5cvGmPcc+pYnr7FKVetPBGLNgIQsWgj5aqVx8P5qWVq9VuGsHrOCizL4nz8Obat+IF7H25ww7ZLFy6lHKNg4YK458+HZaWPpWmH+9m0cAOJVxNzKr1/rHbN6gSUKmF3GJmye/x2bdjJVecLcOQvRzEGPLw9ciy3oGrBbHbmtnnRRoKqBafL7d6WDVkzZ2VK7NtX/Mi9Dze8YVtqTTo0I2Lh+gzPvazaciLHctWCrxu/YDwzGL+GqcbonHOM6jtzyaoNoHXPtmxf8xMnD183a2NBEY+iABQoXBDLsjgbdzYHc3PtuRkVeZqj+46QlJj+RTarNlco7lucO6rfwfpF6wFYv2g9d1S/g+I+xdP1bdyyMcu/XJ78844/y+bvN9Po4UYp7Y/3epwfV//IicMn0j3XDh6+npStXo4fF0cA8OPiCMpWL5cyu/WXOo80ZNNXq7Esiwvx59i5Yht3t6if0v5gj9bsWb2dqCPpZw//0rD9fWz+eq1rEsnE/ye/Dany23Fdfg/1aM3uG+SXF3j7elG5RkW+D0+ecf4+fBWVa1TEy9crXd/jR0/w697fSUpMSte2dd2PXLl0BYDf9x/CGENx7/Tnu6t5+hYnuFowEYs2ABCxaAPBmVxHG7QMYVWqa+WPqa6VpyNPcWTfYRwZXDOyastNxsML98AKXNuS/EHptS1rcA+sgPH4337uBRo/yNUNeefDAskeY8yDxphfjTEHjTGvZ9A+zhiz0/nvN2PMmVRtSanaFudEPLd0UWaMec8Y0zfV18OMMX2MMWuNMV8Ce3Lqe/kG+BEfFYfl/OTAcjhIiI7Hr7Rfur5+pUsQ6/xEECDuRCy+AX43bAO4+/66jF45gUkRU/l2cjh//BqZ5tju+fPRsFVj1n69OqdS+1fIK+MH0LhtU6KOnSb+dFwO5eZLQga5+V6Xm+91sceeiMEnwPeGbX/569xbn8G5l1VbTvAL8CM+Kh6HM0eHw0FCdEK6HAH8SvulzHwBxJyISTV+mbeVrRxIzcZ3seSz9NfeaUM/o8EjIUz+4Qs+iZjK4ikL0xznn8itczOvKFG6BHGn49KMZXxUxvmWKFOC6BNpx6tE6eQPf4IqB1E7tDbhU8Mz/D5turThk5WfMPizwdx+x+0uyCQ97wA/zpyOTzOWZ6IS8L7ud8mntB9xJ/4eq/iTMSl9ylQuS7XGNVn1+ZJMv4+HX3GqhNRga/gGF2SRuczyu/5a4VPaj/jr8vO5Lr+VmeT3nxcf4Z3lY+g55VX8y5dxUSbZU6pMSaJPx6Y5V2Oi4ihVuuT/fMyH2z/I8ciTRJ+KuXHnHJbRdTQ+g9cKSL6epL7GxZ6IwS8PXk8yY3xL4DgT+/dmFZYDx5k4jE/6sctfrynF3p9KkVdH4l6+avpjeXqTr2ptrm1ema5N8i7nxMzHwENAVeBJY0yaAbYsq79lWbUsy6oFTARSr5e+9FebZVmP5kRMt/ryxc9J/gF+ZIxxA54ABgL3ANUtyzqS0ZOMMV2BrgCTJ6efsrbT9lXb2L5qG76l/Xh16iB2rN3OqVSf2tdtXo+4kzFE7s8wNbHZjcavSr1qdHi5I+8//Y6NUf5v6jS/h9iTMUTuP/r/arsZuOdzp/sHvfnk1Qkpb1hS+0/HB9gQvo7Fk8PxKunNkDnDOLT7IAd3/mZDtOKez52+o/oy7uVxGY7XjFEziI+Kx7IsmrVtxnuz3qNzw84Z9s1L3PK588wH3ZnxyicphU9G6rcNZd/6nVyIP5eL0f1z7vncefaD7kzPJL/wD7/ibHQClmVR/7HG9JvxJoMa987yZ3EzqV2/Fj1ee5FeHfrbHYo4XV37LVe+/S8kJZGv2t0U6TeUC693xrr49+9W/pDmJO7ZhnU+Z1ZH3DQyWqp1c7kHOGhZ1mEAY8wcoBWwP5P+TwIufXN2SxdllmUdNcbEGWPuAkoBO4A44MfMCjLn86YAU/76cvWwpRn2a9L+Ph7q1BKAJZ8vxqeUL8bNDcvhwLi54V3Sh9iTsemeF3syBr/bSnBo90EAfMv4Eev81DCrttTiTsZycOfv3N2sLt8dXpTyeNPHm2mWLJvy2vhVqF2J3uP7M7rL8DSF2j8VdyoO7wxyi7sutzhn7IedsfuVKZESe1Ztf2nyeLNMZ8KyavtfNWnfjIc7PQLAd58vxqeUD25ubjgcDtzc3PAu6Z0uR4DYk7GUuK1kyhiVKFOCmJTxy7jNu6Q3pQL9GTQt+R61op5FMcZQpFgRJg/6hBadHqFXo24AnIlOYO/m3VStV+1/LsrsPDft8J/H/0Orzq0AWPjZQnz9fdOMpU+pjPONORFDyTIl+W1X8s+5RJkSRB+PxqekDwGBAQydMRRIO14TXp9AXKpZ6NXzV9P1na74BfilmXVzhYRTsXj5+6QZS69S3iScSjsrHn8yFt8yJYjcfQgAn9IliD8RQ/GS3pQoW4re05PvryviWRSDoXCxIsx+4+8PEBu0b5qy+Uduyiy/+Azy8ylTgqOp8otLlV+fVPnhzG/WG5M5ExWfcowtCzbw+ODn8Q7wIf5E+nPDVVp2aMETL7YD4MspX1PS3y/NuVqilC9RJ///51GNu6sxdOJbvNzpDSIP/ZHTYWeqaftmtHBeazK6jvpk8FoBydeT1NdKvzIliHHx709OsuJicPPyA+OWPFtm3HDz8sWKT5uDdTYh5f8T923Hio/B7bYgkn7dnfJ4gUYPcHnOFOSmUwZI/ct2HKiXUUdjTCBQDki9I1EhY8xPQCLwgWVZC/9pQLf08kWnz4DngU7AF87HLubEgdfNW8NrLfrzWov+bJi/lqP7j9CwVfL9DA1bNeLo/sOcz+CTyq1LNtPsieYYY/Dw8aRu83r8sHTLDdtKp1qq4eHtQbX6NTh24O/lbz7+vlS+pyqbFubukpWbVV4av/J33kG/Sa8wrsdIjuzN2RuFz8WdJXL/ERo4c2uQSW4/LNnMfU/8JyX2u5vfw4/O2LNqg+Rzr9I9VYlYuDHd98+q7Z9YN281r7boz6st+rM+g/E7sv8I5zIYvy1LIlLGyNM5RluXbs6yLfZkLC/c9Qy9QrrSK6QrS774llVzVjB5UPIOatF/RFErtDYAhYoWpvI9VTmWwdLU7OeWu+em3VZ+vZLeD/am94O9WfXNKg7vP0xoq1AAQluFcmjfoZSdElPbuGQjD3Z8MPkeHJ/iNHigARHLIog5GcMTNZ/g+QbP83yD51n4+UKWf7WcCa8nbzzj6//3crraobVxJDmIPe36N/bn487xx/6j3PNo8r039zzakD/2HUk3o7V96RZCnmyGMYZiPp7Ual6Xn5dtJeFkLC/XfoE3Q3rxZkgvVn+xhI1zVqUpyIJrV6SwRxH2rsu53VuzK6P8jmWSX+NU+d3lzC/+ZCwDar/AoJBeDArpxSpnfrOc+XmV8kk5RrXGNXEkOThzOp7c9O3cpTz1n8489Z/OLJm3nN/2HeSBNvcD8ECb+/l17++ciTtzg6OkVbVmZUZMHsJrXd7m1z25O7u+dt5qXm3Rj1db9GP9/DXOa01jABq2asyR/YczvY7en+paeU+q6+jNwDp/hqRjB8lf/z4A8te/j6RjB9PNdhnvv5dkupUtj/Hzx3H67/fx7ndUxRQuSuJue3bLlMwZY7oaY35K9a/r9V0yeFpm039PAN9YlpX6ptCylmXVAToC440x5f9pzLf0TJlTODAUyE/yD65R1t3/d5+9GUbPMX1p2+dxLp69yMcDxqe0vT59MF+P+ZLDew6xYcE67qhVgfHrwwCY/9HXRP8RBZBl2/0dH+DOxrVIupaEMfD9zKXs3vj3C29ou6b8vGobF89ecFWK/7Ph48JYvT6C2PgEXuz7Bl6eHiz6b95aGmrn+L3wfjcKFCpAl+E9U77npP7jM7zn7H/xxZuf0n1MHx7r8zgXz14gzLlb58DpbzFvzFcc2XOIjQvWc0etioxdn1xohKeKPas2gEbtmrIjk3Mvq7acNOXNMHqP6Ue7Ph24ePYik1KN36Dpg5k75isO7znIhgXrqFCrIhOcY/TNR3PTjF9mbVn5+OUJdB7alZZdWpEvfz4iFm9k57qfcyw3V5+blepUoe+klylcrAjGGBq0DGHywEns2rAzyzZXmThoIi+Pe5mO/Tpy4ewFRvcbndI2dMZQZo2Zxe+7f2fN/DVUvqsyn2/8HIAvx3/J6WOnMztsipfHvoxXCS8sh8WfF/5kSOchOJJyZwncf9+cQqcxvXm4Tzv+PHeRaQMmAdB72iC+HTuXyD2H2bpgA+VqVeC9dclF5JIJ3xD7R/ZmIRq0b8rWBRtsW9I325lfyz7tuHjuIl848+szbRCLnPltceb3vjO/b7OZX6cxvfD088KyHFw+f4mPu4zMtXHLzPDXRjPkozd5sf/znD97nnf6vJ/S9tHsUXz64ef8sutXat5Tg+Fh71LUI3nWtnmrZrz38ki2rvuR1z4YQMFCBXlj1N87/7390vscOpD7O/lNfvMTXhrTj/Z9OnDx7AUmprrWvDH9beaO+ZJDKdfRSkxc/ykA81JdKyvXqUL/Sa86rxnQsGUjPhk4kV0bdmTZltsuzRhP4S6vUbDVM1gXz3NpygcAFBkwnCsLppN09DcKtXsB96AK4HBgJV7j0uQRaWbPCjR6kKsRK/WHlPOg61a9ZeQ4kPqG4tuAzJYpPQH0uu74J53/PWyMWQfcBRz6X+MFMNbNvyb0howxnwJnLMt63RjTBHjFsqxHsvl0q0Nga9cFZ6O5kckzrddib80tXPP7BXOrjh0kj1/HwDZ2h+EyX0aG0z6wld1huMy8yEW37Pn517XlodsfsjkS11j2xzK6BbW3OwyXmXx0Hl1u4fymHp1HnQCXfT5ru59ObaRdYI7sO5DnfBOZvNHS2eea2RyJaxSfsRoynsHJcy5NG5inC4jCnUZl+XM0xuQDfgOaASeAbUBHy7L2XdevEvA9UM5yFk3GGG/gT8uyrhhj/IAtQCvLsjK7Hy1bbvmZMucGH/cC7QEsy1oHrLMxJBERERERsYllWYnGmN4kF1zuwBeWZe0zxgwFfrIs66+tlp8E5lhpZ7GqAJONMQ6SbwX74J8WZHCLF2XOrS2/A8Ity8qZv+IqIiIiIiI3NcuylgJLr3vs7eu+fjeD520GauR0PLd0UeasWoPtjkNERERE5JZxi/wpirzk37D7ooiIiIiISJ6lokxERERERMRGt/TyRRERERERyWH6MwA5TjNlIiIiIiIiNlJRJiIiIiIiYiMtXxQRERERkWyzHHn6b0fflDRTJiIiIiIiYiMVZSIiIiIiIjbS8kUREREREck+/fHoHKeZMhERERERERupKBMREREREbGRijIREREREREb6Z4yERERERHJPkv3lOU0zZSJiIiIiIjYSEWZiIiIiIiIjbR8UUREREREss9h2R3BLUczZSIiIiIiIjZSUSYiIiIiImIjLV8UEREREZHsc2j3xZymmTIREREREREbGcvSjXo3oB+QiIiIiOQGY3cA2fHnxJ55+v1xkZc+uSl+jqlp+WI2XFrxid0huETh5j0B6BDY2uZIXGNu5EKuxR62OwyXye8XzDOBj9kdhsvMilxAx8A2dofhMl9GhtM+sJXdYbjEvMhFAHQLam9zJK4x+eg8ppd52u4wXOb5E7OZeQvn9+yJ2bf8+AV4VbU7DJc4dWY/AN/6P2lzJK7R8vRXdoeQfVq+mOO0fFFERERERMRGKspERERERERspOWLIiIiIiKSfdqTIsdppkxERERERMRGKspERERERERspKJMRERERETERrqnTEREREREsk9b4uc4zZSJiIiIiIjYSEWZiIiIiIiIjbR8UUREREREss+hLfFzmmbKREREREREbKSiTERERERExEZavigiIiIiItlnaffFnKaZMhERERERERupKBMREREREbGRli+KiIiIiEj2affFHKeZMhERERERERupKBMREREREbGRli+KiIiIiEi2WQ7tvpjTNFMmIiIiIiJiIxVlIiIiIiIiNtLyRRERERERyT7tvpjjVJTlksjoBAbPWsGZi5fxKlqI955pTmBJ7zR94s//yduzVxJ15jzXEh3UrXgbr7VrQj53NxZu3cd/1+7AGIPDYfFYg+p0bFIrV3MIKFeanmP7UMzLgwtnzvNx/484ffRUun7GzY1OQ16kZmhtsCwWhc1nzZxVN2xr0v4+WrzwKJbDws3djdVfrWD59CUAPNbncRq0DMGRmERSkoM5o2axa8PO3Es+Cx9OmsqqdRGcOBVF+KwwKgQH2R3SDfmXC6BrqrGc3H8CUdeNpXFz49khL1Aj9C6wLL4NC2e9c6yqN6pJ+4FPcXulQFbOWMpXw2akPK94CS86De9OidtL4p4/H4snfcPm8A25ml9q/uVK0yNVrmEZnLfGzY3nhrxIzdC7sCyLxWELWOfMtUajmnQY+DS3Vwrk+xlL+DJVrnYJKFea3mP7puQ0sf/4DH8X3dzc6DSkC7VC7wILwsPms2bOyhu2te/3BA888xAJUfEAHNh+gM8HT86V3EqWC6DTmN4U9SrGxTMXmDZgItFHT6fpY9zceOLdTlQLrYVlwfKwcCLmrknTp1Rwad5aMop1s75n/vBZKcd+ekQ3ingWJV+BfPz03Wa+Gz8vV/LKiGewPyHju1HQuxhXEi6wse+nnD8SlabPnf1aU+7Re7GSknAkOvj5g685uX4PAPWGPUfpkGokXb3GtYtX+PHtWcTtPmJHKhnyuC6/TRnkV8OZnyMpCSvRwY5U+dXo8yhBLe9NvnfFGPZOWszRxT/YkUqGbvXxAwguH8hHYSPw9vEiIf4MfboP4sjhyHT9+r/anVaPtSAxKZGkxCRGDB3PujURALR9vCU9+3amYqXyvD3oA6ZN/TK308hQ0WB/ak3oQQFvD64mnGfnS2FcPJL2WlOhfxvKtG6AIzEJKzGJAyPmErNud8rz7xzdhfyeRXArkJ+Ti7fw2+j5dqQit4hbuigzxngBHS3L+sT5dRPgFcuyHsntWN6fs4YOjWvycN3KLNl2gPfnrGFqn7Zp+ny2YhvB/j5M6tGKa0lJdBo3j9W7DvJA7YrcX/MOWtWrijGGi5ev0m74bOpUKEPFMiVyLYcXh3fn+5nL2BS+npA2oXQZ0YP3nnw7Xb9GrRvjHxhAv9AeFPP2YOTSsezZtJuY49FZtv2wbAvr5iW/sSpUtBCjV0xg/9a9HDsQyaGdv/HdlIVcvXyVwCpBvDN3GN3qduLalau5ln9mmjWqz9PtW/Ncz1fsDiXbOg3vzqqZy9gcvoEGbRrTeUR3Rjz5Tpo+DVo3pmSgP6+G9qKYtwfvLx3Dvk27iD0eQ/SxKL54PYy6D91L/oIF0jyv4+DnObLnEOO7fICHjydDv/uQA1v3EX8qLjdTTPHC8O6smLmMiPD1NGwTygsjejDsuvM2pHVj/AP9GRDak2LeHgxfOoa9qXKd+von3PNQffIXzG9LDtfrOrwHy2cuZWP4ehq1CaXbiJ4MeXJwun4hrUPxDwygT2gPPLw9GLV0HHs27SLmeHSWbQDrF6xl1rDpuZsY8NSwrqybuZwfFm6kXutGPDW8G+M6DknTp17rEEoE+TO4SR+Kenvw1pJRHIjYQ9zxGCC5aHtqeFd2rtiW5nltBz3Nz0u3sm7mcgoWKcQ7K8ayd+0Oju46mGv5pVb/g04cmL6KwwsiCH6sIQ1Gdub7x0ek6RO74xD7Pl1K0uWreFcty0PfvMnc2r1JunyNE2t38eM7s7ESk7jt/lqEhvVmQcOXbcklI/c68zuyIIJyjzXk3pGdWXldfnE7DrE/VX4PfPMm85z5HZi2kj0TFgNQuJQXrdZ/yMn1e7h69k870knnVh8/gJHj3mH6Z18x/+tvaft4S0aNf4f2j3ZO12/H9j18Omk6ly5dpmr1SixYMoNalUK5fPkKe/f8Qo/Or9C7/4s2ZJC5O0e9yNFpKzkxfxNl2oZw54cvsqXd+2n6nNlxiMOfLiHp0lU8q5alQfjbrKjZA8fla1Qd3JFT3/3A0S9W4F6kIE02fEj06p2c2XHIpozkZner31PmBfS0O4j483/yy/FoHry7IgAP3l2RX45HE38+7QuLAS5euYrDYXEtMYlrSQ5KehUDoFjhghhjALh89RqJSY6Ur3ODp29xylUrT8SijQBELNpIuWrl8fDxTNe3fssQVs9ZgWVZnI8/x7YVP3Dvww1u2HbpwqWUYxQsXBD3/PmwnLPjuzbs5Orl5AIs8pejGAMe3h6uTDnbatesTkCp3CuO/ylP3+IEVgtmy6JNAGxZtInAasHpxvLelg1ZN2dVylhtX/ED9zjHKjryNJH7jpCUmH73pbJVgti9bgcA5+PPcWz/Ueo90tDFWWXM07c4QdWC2ew8bzcv2khQJrmumbMyVa4/cu/DyTFHOXN1JCblevwZSf5dDL7udzEYzwx+Fxum+n075/x9q+/MK6s2u3j4elK2ejl+XJz8CfuPiyMoW70cxa7Lrc4jDdn01Wosy+JC/Dl2rtjG3S3qp7Q/2KM1e1ZvJ+rIyTTPsywo7FEEgAKFC2BhcT7urIuzylghX098qwdxZOFmAI4s3Ixv9SAK+qS9rp1cv4ck57UvYf8xMIaCzmvf8VU7sZznZcz2gxQN8IFcfF3Iyl/5HXXmd/R/yO/a+b9fE/IVLQSWhXHLG29bbvXxA/D186FGzaqEf5O8YiX8myXUqFkVX1/vdH3XrYng0qXLAOzf+ysGg7ePFwC//nKQ3349hCMP7dZXwM+T4jWCOBGefK05ER5B8RpBFPBNO34x63aTdCl5/M45x6+Ac/wsC/I7ryfuRQqCBVdi7bmeyK0hz8+UGWOCgOXAJuBeYBcwDRgClASeAloAZYFg53/HW5Y1AfgAKG+M2QmsBJYAxYwx3wDVge3A05ZluXRh7OmE85QsXgx354uJu5sbJYsXI+rMBXycv9AAXR+s93/s3Xd0VMUewPHvBFBagHSSAAmh994JCVVF6U1AVHrviPiwgTRFeomAAoJKr0roEEJXkCY8pSWhJIQ0EsACSeb9scuyKUCE3Wzg/T7n5Jzsztyb+WXuvbNzZ+4sI7/ZQpMPF/HXP4m82aAiVXw8TOlBZy4ze/NBrkXHM7hFXUp4OFuz2Ck4uTsTGxljWgJVJycTdzMWZw9nbscmpMjr7OFCtPGONUDM9Wic3J2fmAZQrUkNOr/fDbciBVnxxXKu/pF2mkSDdg2JvHKD2Bu2GXl53jm6OxGXqi5v3YzFMVVdOnk4P7auHiX0zGVqt6xPyOmLuBR2pUS1UkQbR18ym1M6scbdjMUpTawpj8vo61E4ujtlenkzwtndmdjIWNMHnOTkZOJuxuHk4UxCmnPR2TTyBRB1PcrsXHx0GkC9Fr5U8q3Crag4Vs9Ywflf/7BmWAA4uDtz60ZsymMzMq/TrU8AACAASURBVA4HdyfumMXm6OFMzPWH9RUbHoWDsb48SxehXINKTOs8jtdTzUZYPX4JA78eg1+3V8iTPw/rJi03ja5ltjwejty9EYc2PpehkzV/Rt4ij4cT/8TeTnebYh18uR12kz8jYtOklX63Kdd2nwTrNmcZltvDkT//ZXw+6cRXslsjyvR6ldwejhweuYh/4u5kSvmf5EWvPwBPz4LcCL+Z4loTGRGFR6GCxMTEPXK7Dp1bERZ6lYjwyEfmsbVcHk78fSPu4XNRyZq/I+PI5eHEvZj0669Qxwb8GRrJ38b6O/vxMmouew+vd5vyUv48nPvse/66Gp1ZIdiezjqd7BdFlu+UGRUHOgB9gF+ALkB9oCXwH+AkUBpoCNgDfyilAoAxQHmtdWUwTV+sApQDwoGDQD0MHT4TpVQf499iwYIFdPO2amwmO09coISHMwsHteXuP/cYGLCJnScu0LRKCQD8K/jgX8GHiNgEhi/6Cd9yRfF2S3vH6nl2fNcvHN/1C04ezry36ANO7D1OxOWHd7vL1CpHp5FdmPDWJ4/Zi7ClHyYspevH3Zm4dTox4VGcO3SGxCwyyiQyZuf321g/dw1JiUlUrF+J0Yv+w7DGg7hzK/0PK1mFXfZsdJvSj29HzU/3O3QadGnK0Q3B7Fi4mXwuBRi5chyhZy4RetI20xf/DbfapanyXjt2dP48TVrRlrXxaVOXrW0/s0HJLONBfDtTxXd++R7OL99DgdKF8J0zgIj9Z7NMx+zfeNHr74E69arz/n+G0KlNT1sXxaKc6pSh9OgOHO40yfSeV7fGXFu7n0vzf+Jl1wLUXf8Rt05elumL4qlljXkATxaitT6jtU4GzgK7jaNbZwBvY54tWut/tNbRwE3A7RH7+llrfc24r5Nm25torRdqratrrav36dPnmQtf0MGem/F3SDJ+SEhKTuZm/B3cjFMTH1gRfIrm1UthZ6ewz/UyDSv48MuFa2n25+6Yj/JebgT/Zt0Hgv07NOLzwBl8HjiDwqWK4OjmZJo6ouzscHB1JDo87V2h6PAonAs9nM7n5OlMTET0E9PMxYRHc/HkBao1rmF6r0TVUgyaOZwv+0xO0VET/05sRAwOqeqygKsjsanqMiY8OkN1ldrt2AS+GjaLsa+NYHrPyeTMk5Pwi2mP48wQk06sDq6OxKSJNeVx6ezpYrNn4NLj36ExUwNnMNV0LjpiZ4zJzs4OB1eHNDEBRIdH41LI1fTaxdPF7Fx8dNqtqFskGTvSpw+cIiYimiKlilgtvgfiIqIpUNAx5bHp5kBcqrqIDY/Gyex5WkcPF+IiYsjv6oBLETcGLf2AiQfm0bjH6/i+2YS3JvUFoOG7zTm8LgiAhKhb/HH4N0rWLGv1uNJzNzyWPAUdUHaG6WrKTpHbrQB3w9Medy7VitNgTn/29JhJwqWUC7oUebU6Vd7vwM4un/N3dEKabW3lz/BYcmcwPudqxak/pz9704nvgVu/X+PPyFu41Slj1XJn1Itaf526tmHn/vXs3L+eUmVLUNDDNcW1xs3dhfBrN9LdtlqNSsxZ8Dnd3xrEpYuhmVjqf++v8BhyFnQAY/1hp8jp5sBf6dSfQ7USVJk7kF+6T+OuWf0V7fUqV1cbFrH65+Ytog+exSmLHJ/i+fS8dMr+Mfs92ex1Mg9H+8zzJPHoUcCM5rMYR/vclPJ0Ydvx8wBsO36e0oVcU0xdBPB0yseh/xqm691PTOLIH1cobpySE3Lj4XSHuDt/8cuFaxT3sO70qqA1e3i/+XDebz6c4HV7CT0XQr1WvgDUa+VL6LnLaaYuAhzZcojGbzZDKYW9Yz5qNKvF0cDDT0zzKOZp2oe9gz3l6lTgyu+G/0exisUZNncUM/p/Tshvl60a94suISaeK+dCqNOqPgB1WtUnLJ26/HnLIfzfbGKqq2rNavFL4JEn7j9vgbzYZTNcWsrWLU+hUl4c3mib1RcTYuIJOxdCXeNxW/cRx+3RLYdo9GZTs1hr8rPxuMwKgtbs5r3mw3mv+XD2pXMuhpwLSTN1EeDwloOm8y2f8Xw7EnjoiWmObo6mfXiXLYpLIVfCL1+3epy3YxK4ei6Umi0Nz7bVbFmPq2dDUkxdBDgeeJj6nRujlCKvYz4qN6vBr1uPEBcezciqPRlbfyBj6w9k9+It7F+5i+/+Y1g5MubqTcr5GVatfTlPTorXKM3181esHld6/o5JIPbsFYq2NjynWbR1XWLOhqWZ+uZUyQe/gEHs7TOb2N9CU6QValKZGp90YWfXL7hzLWtNm3oQn7cxPu/WdYl9THz70okvf/GH0/fzFnbBsbwX8eetfxxmxItaf6u+30BT37Y09W3LmhWbOHvmd9q0fx2ANu1f57fT/0136mKlKuVZsHg6vd8ZzplT/83sYv9r96ITiD8bhmcbw7XGs0094n8LTTN1MX9lH6otGMKxXjOIPxOaIu3PKzdxbVgJgGx5cuJYqzS3f7+aKeXPEpJ11v55DikrP071zIzPlP2ktS5vfL3U+HrtgzRgLXBHa/2lMc9vwBvAbeBXrbWX8X1/zFZfVErNBY5prZc+pgj6rx3znzmOkBuxfPTdDhL+/Id8uV9mQrdX8HZzYGDARga8XodyRdy4GnWLCav2EJPwJ8laU71EIUa38yN7NjumrtvH4d+vkD2bHWhoU7ccnf2ebUn8XM0Ma6B08mqdofwexTwZMG0oefLn4W78XeaNmGkasRqz9CNWT/uBy2cuoezs6DG+NxUbVAFgc8B6dq/YAfDYtLc/6kHFBpVJup+EUrBn1S7TkviTNk/FpZArsWad07nDZ6b7zNkDq8I2cj/a+h24STMC2L3vINGxcRTIn58C+ezZ9L31lw/P4exDN6+2T7WtezFP+k4bTO78efkz/g5fjZjNjcvhjFo6lnXTVhJirMd3xveifAPDcbYlYAN7VxiWTC9ZvTQD544kV95coBR/3f6Tr0fP40zwSSr6V6Hbpz1JTkrmdtxtln28iCvnQv91GZeHraeLV5unis+cRzFP+k0bQp78ebkbf4eAEbOIuBzO6KUfsmbaClOs3cf3poIx1h8D1rPHGGup6mUYNHcEufLmRinFn7fvsmj0PE4/41cy/BC2gQ5erZ46pkHThpnOxbkjZpo6TR8s/YhV01Zw+cxF7Ozs6Dm+DxWNcW0KWM8u4/n2uLSB04biU6EYyUnJJN5PZPWMFZzYezzD5VsTtgmAvt4d/nVsbsU86D5tELnz5eHPhLssGTGXyMvhDFryAT9OX0XYmcsoOzs6j+9JWd+KAGz/ahP7V+xKs683hnXg5dw5TUviFynvw5vjevBS7pfJlj07x348yJbZa/91GReErmGp51v/ervU8hdzp/7MvrxUIA/3bt1l/7AFJFyKoMmyUZz4ch0xp0N4Y8t48hZ25s8bDz8IBw8J4Nbv13jz9HyS7iWm6Ahs7zT5maf3vXv9O5ZZIL58xdypN7MvLxfIwz+37nLQGF+jZaM4ZYyveTrxHTDG1+CrwRQo6WlYjjwpmbMBP1lkSfy3r3/3wtefewHLjAAXL1GUWQGTyV8gH/G3EhjSb4xpFOy71V8xddIcTp08y9Y9qyhcxJOIiIfPqQ7u+z6/n7tA63bN+Wj8KAoUyMe9+/f58+5fdG7bm/N//PtpfhG3zgHwY8HOzxxb3uIeVJ7dnxz583A//i4nBs/n7qUIan4/mj++WEv8qcv4bptArsIupufIAE4Mms/t36+Sv2JRyk98l2y5X8YuRzaubzzMhenrn6lMLW6sAMO6b1ne3fFds3QHIs/H3z8X/0dzL3SnTGsdqpT6AagIbMWw0IdNOmVZ0b/tlD1vMqtTZivP0il7HliqU5ZVPUunLKt7lk7Z88BSnbKsylKdsqzKUp2yrMqSnbKsxpKdsqxIOmWW8zx2yrL8Qh9a61AMKyU+eP3uo9LM3jfP3yVVcpBZ2iCLFVQIIYQQQoj/B1noKw5eFM/LM2VCCCGEEEII8UKSTpkQQgghhBBC2FCWn74ohBBCCCGEyEKe0xUOszIZKRNCCCGEEEIIG5JOmRBCCCGEEELYkExfFEIIIYQQQmScltUXLU1GyoQQQgghhBDChqRTJoQQQgghhBA2JJ0yIYQQQgghhLAheaZMCCGEEEIIkXGyJL7FyUiZEEIIIYQQQtiQdMqEEEIIIYQQwoZk+qIQQgghhBAiw3SyLIlvaTJSJoQQQgghhBA2JJ0yIYQQQgghhLAhmb4ohBBCCCGEyDhZfdHiZKRMCCGEEEIIIWxIOmVCCCGEEEIIYUMyfVEIIYQQQgiRcTJ90eJkpEwIIYQQQgghbEg6ZUIIIYQQQghhQzJ9UQghhBBCCJFxWr482tKU1jIn9AnkHySEEEIIITKDsnUBMuLOqFZZ+vNx3i83PRf/R3MyUpYB7b1a2roIVrE2bDMAXbza2Lgk1vFD2Aa6ebW1dTGsZnnYeu5HX7Z1Mawmh7MPtT38bV0MqzkSHkTe3EVtXQyruPNnCAAtirxh45JYx49XfqLVCxobwKYrP72wdQeG+mv7grbrAOvDNr/Q7TpA40LNbFwS69h9bYetiyBsSDplQgghhBBCiIyT1RctThb6EEIIIYQQQggbkk6ZEEIIIYQQQtiQdMqEEEIIIYQQwobkmTIhhBBCCCFEhml5psziZKRMCCGEEEIIIWxIOmVCCCGEEEIIYUMyfVEIIYQQQgiRcTJ90eJkpEwIIYQQQgghbEg6ZUIIIYQQQghhQzJ9UQghhBBCCJFxycm2LsELR0bKhBBCCCGEEMKGpFMmhBBCCCGEEDYk0xeFEEIIIYQQGSerL1qcjJQJIYQQQgghhA1Jp0wIIYQQQgghbEimLwohhBBCCCEyTqYvWpyMlAkhhBBCCCGEDUmnTAghhBBCCCFsSDplQgghhBBCCGFD8kyZEEIIIYQQIsO0lmfKLE06ZVbkXtSDQdOHYV/Antu3bjNn+AxuhEakyWdnZ0ePcb2p7FcVrWFjwFp2r9wJQCXfynQZ3Y0ipbzZ+u1PLJu4xLTd49IsrWBRD/pPH0LeAvbcuXWbgOGz0sSi7Ox4Z1wvKvlVQWvN5oD1BK3c9cS0/tOHULi0t2k/Rcp4Mb33FH7d9ctj06ypYFF3+pjFu2D4bCLTifftcT2p4FcFtObHgA3sM8ZU3rcSHUZ3pXApL3Z+G8iKid+atsvvUoDuk/rhUtiVbDmys3nuWg5tCLZqPM9i6txF7Ao6yPWISDYsD6CEj7eti/RMCvsU4uOZH5DfIR/xcQmMHzqJqyHX0+Sr6Ved/mN6U6x0UdYs2cCc8QE2KG3GFC9elAWLvsTR0YHY2Dj69BrJpUuhafK9P2Yw7du/QWJiEolJiXz6yZfs3mU49r5aMJWGjeoRExMHwIb1gUz9Yl5mhmHiUdSD4dNHYO9gz+2420wfPp2I0PA0+ezs7Ogzrg9V/auhtWbd/LXsWLkDgMYdmtCqVyt0ssYumx07VmznxyU/ptje08eTWVtnEbgskMUTF2dKbGCIb6hZfDMfE1/vcX2o4l8NjPHtNMbXccib+Lb0JSkxmaSkJL77fBkngn81xdVv4gDyOeYDYPGEbzi1/2SmxWbNustIvVqTe1EPhpi167OHzyDiEe16z3G9qWJs1zcErGWXWbvedXQ3vEp5E/jtT3xr1nYPmT4ML7M2z6uMN5/3nsQvu362SjzWbNsBar1elzZDOqKUQmvNpK6fkBAdT7thnWjS7TXiImMBOH/8d5Z+tNAqMZorVNST92e+Rz6HfCTEJTBl2BdcD0n/+Bw0fgA1/Kuj0ayct4rAFdtM6X5vNOCtYV1RKDSa0W++T1z0LRxcHBg+ZSjuRQqSLXt2fpizgl3rd1s9LvFisFmnTCnlDfyktS6fwfxLjfnXKqW+BqZrrc+lyvMuUF1rPciypX06fSYNYNuyQPZvCMK3jT99Jw9kXOcP0+Tzbe1HQS93Bvv1w97BnqmBMzl94BRR124SeSWSr8bMo9ZrdXjp5ZdSbPe4NEvrOakfO5Zt5eCGfdRr40fPyf2Z2PnjFHnqt25AQa+CjPAbQF4HeyYFTuO3A6eIvhb12LSAEbNN+yhSxpuxK8ZzOvgEwGPTrKn7pH7sWraVQxuCqdumAT0m92Ny509S5KnbugGuXgV5z28geR3smRA4jbPGmG5eiWTxmABqvFabHKnqpstH7xJy5hIze0/B3jEf43+ayu9HzhIbEWP1uJ5GY986vNWhNe8MGGXroljE+1NGsG7pRrat38mrbZvy/ucjGdRxRJp84WERTH5vKg2b+/FSTuueX89q1uwJLFywnFUrN9LpzdbMnjOR15t3TZPv2LFTzJ61iL/++pvyFcqwbftKivvU5O+//wFg+rSvWPDVsswufhoDJg1ky7KfCNoQhH8bfwZOHsiHncemyefXxh93bw/6NuiDvYM9s7bO5uSBk9y8dpNDWw+ye43hw2GuPLmYu3MeZw6fIfT3UMDwoWvg5EEc2X4kM0MDoP+kgQQu+4l9G4Lwa+PPgMkD+egx8fU3xjdj62xOGeO7cPI8Gxdu4N7f/+BdpigTV0+me/W3uffPPYZ8OYyt3wUStH4v7t4eTFg1if5+fblnrGdrsnbdPalera3fpAFsXRZI8IYgGrTxp9/kgXySTrvewNiuDzS269MCZ3LKrF0PGDOP2um03bNHzDT97l3Gm3ErJpg629Zgzba9aIVitBv+JhM7f0x81C1y2ecm8d590373r9/LD2Y3LDPDsClD2fTtj+xav5smbRszfMowRnUanSZf4zaN8PD24G3f7uRzyMeC7fM5vv8EkdciKVmxBO+M6MbITqOJi4ojj31u7hnj6v9JX86fvsDHPT8lv2N+ArbO49Th00RFRGVqnOL59Fw+U6a17pW6Q5bV5HPKj085Hw5uMtyFPrgpGJ9yPqY7l+bqtqjPrpU70FqTEJvAzzuOUuf1egDcCIsg5OxlkhOT02z3uDRLx+JdzodDm/YDcGjTfrzL+WCfKpbaLeqxZ+VOtNbcjk3g+I6fqW2M43Fp5vw7Nebgxn0k3kv8V2mWlM8pP17lfDi86QAAhzcdwOsR8Qat3GUW01Fqvl4XgJthNwg7G0JSOnVTpIw3p4MMHcvbsQlcORdKrTfS/i+yiqqVyuPu5mLrYliEg1MBSlUoyY6NhjuXOzbuplSFkhRwzJ8m77XQ65z/7SJJSUmZXcx/xcXFiUqVy7Nm9WYA1qzeTKXK5XF2dkyTd/euYP76628AfjvzX5QCRyeHTC3vk+R3yk+x8sUINl47gzcFU6x8sXSvnb5v+LJ9xXbTtfPI9iPUe70+AH/d+cuU7+VcL5MtR7YU023aD2jPL7t/TvcuuTXld8qPT/li7DfGt39TMD6PiK/+G77sMIvvqFl8J4J/NXWyQv8bglIKewd7ALzLFuXXoOMARISGc+fWbao1rJYpsVm77p5Ur9aU39iuHzDGd+Ax7Xq9VO360R1HqZuBdt1c405NCbZim2fttr15rxZsWbiJ+KhbAPx1+0/u/3MfWyngVIAS5YuzZ+NeAPZs3EuJ8sXJn87137+lH4ErtqK1Jj42noPbD+H3RgMA2vVux+oFa4mLMswquGsWV7EyPvwSZJjJEx8bz6Wzl/Bv0SAzwst8yTpr/zyHbN0py6aUWqSUOquU2qGUyqWUqqyUOqKUOq2U2qCUSvOJQSkVpJSqbvy9u1LqvFJqH1DPLE8LpdRRpdQJpdQupZSbUspOKXVBKeVizGOnlLqolHK2dGDO7s7ERsaSnGy46CYnJxN7MxYnj7R/ytnDhahrN02vo69H4exu8SI9NSd3J+IiY9DGWHRyMnHpxOLk4UL0tYd3g6KvR+Ho7vTEtAey5chOvVYN2Lc67VD/49IszTGdeG/djMUxTbzOKWKKuR6NUwbqLfTMZWq3NHz4cCnsSolqpXD2fDE6PVmdq4crUTeiUpyX0ZHRuHm62rhkT8+zkDsR4TdSxHQjIhLPQu6P3a5L17aEhFwh/PoN03uDBvfk6M9bWbFqAaVKFbNquR/F2cOZ2MiYNNdOF4+054iLZ8prZ1R4FC5m52nNpjWZt2se3xxazIav1hP2RxgA3qW9qeJXlU1fb7JyNGmlF1/czVic04nP2dOFm6nic06nDWnYvhE3wiKIuWEYbb905iINWvsDUKxCMTx9CuGSCcd4ZtTdk9KsycndmZh02vX06uRZ2/XsObLj28qP3at3PTnzU7J22+5ZojCuRdz4aPUEJm75ktaD26fYb50W9ZmybQZjln9CiaqlrBKjORcPF6JvRKeov5jIGFzTOT5dPV2JvBZpen3z+k3TcexVogjuRdyZsXYaX22dR9chXUz5zp+5QMOW/gAULFyQctXL4lrIzYpRiReJrTtlJYB5WutywC2gHbAMeF9rXRE4A3zyqI2VUu7AOAydsaZAWbPkA0BtrXUVYCUwWmudDHwHPJjX0wQ4pbWOtmhU4qlUb1aT6PAows6F/qu0580PE5aS3zk/E7dOp9unPTl36AyJiVl7NEa8WOrXr8VHH4+g+ztDTe+NG/clFcv7U6vma2zetJ0Nm77Fzs7WTcSz+XnnzwxsMpB+/n1p2LYhnj6eZMuejUGfD2b+f+aZPpw9z8rVKk/XkW8xbfBU03uzRs6gYt2KzNg6m1a923Du2DmSEq07w8DS0qu7jKS9KGo2q0V0eBSh50JsXZSnZpctG0VKezH5rU/5rOOHVPKvim9bfwB2fb+dYfX7MebV4fy0YCMjFn1A3gL2ti1wBmXLng2fMkUZ3WUMw9uPombDGjRt1wSAr8YvxMHFgYU7Ahg0fgAnDp4k6f7zde4J27H1Qh8hWusHTx8fB4oBBbTW+4zvfQusecz2tYAgrXUUgFJqFVDSmFYIWGXsuL0EPLiyLQY2ATOBHkCa1TGUUn2APgALFizIcDANOzSmefcWAPz0zWYc3Ryxs7MjOTkZOzs7HF0diQlP2/+LDo/CpZArl05fBAx3R6Ou30yTz1ZiImJwcHNC2dmhk5NRdnY4pBNLTHgUzoVcuGwWR/T1qCemPeDfsfEjR8Iel2ZpsenEW8DVkdg08UbjXMiFEGNMTp7OaWJKz+3YBL4aNsv0etTSsYRfvGbZIITJ651epVMvwx3alQvX4FLQJcV56ezmTGQWOt8y4q1u7RkwsDsAc+d8g7tHwRQxFXR34/q1tIsPANSsWYWvF0+nU8c+XLhw2fR+RPjDu8IrfljPlM8/xNPTnatX0y6CYmmNOzShZY+WAGz6ZiOObk5prp1R4WnPrajrhmvnhdMXAMOd8Jvp1GVUeBTnT12gRuOaHNxyAHevgnyy9FMA8uTLg1KKXPa5mTdmrtXie8MY3+Z04nNwdSQ6nfiir0fhWsiVi2bxmbcNpaqWZsSskUzsNYHrlx/WU+SVSCb1mmB6PXf3fK5dvGq12DKr7q5f3pDhNEtp1KExrxvb9R+/2YxTOu169GPa9YtP2a437tjUqqNkYP22Pfp6FD8HHibxXiKJ9xI5vuNnilUuwf71QaYpjQC/HThFbEQ0hUoV4fejZy0a4ysdm9G2ZxsA1i1aj3NB5xT15+TmxM10js+b12/iVsiNP06dBx6MnBnq7+a1SIK37Of+vfvcv3efQzsOUbpKKXau20V8bDyTh3xu2s+kZRO4cvGKRWPKMp7TKYJZma1vg5o/dZwEFHiKfTzqqJgDzNVaVwD6AjkBtNZXgUilVCMMnbqtaXao9UKtdXWtdfU+ffpkuCB71+zmvebDeK/5MPat20PouRDqtTLMJa7XqgEh5y6TEJuQZrvDWw7S5M1mKKXI55iPms1qcSTwUIb/rrUlxMQTdi6Euq18AajbypfQc5e5nSqWo1sO0ejNpoZnGxzzUa1ZTX4OPPzENADHgk6UqlmWgxv3p/n7j0uzhoSYeK6cC6FOK8MUwzqt6hOWTrw/bzmE/5tNzGKqxS+BT140IG+BvNhlM5x6ZeuWp1ApLw5vzLqrLz7vtqzaxttNe/F2014ErtnOhbMXada6MQDNWjfm/G8XuBUbb+NS/jvfLV9L3dqvU7f26/zw/XrOnD5Hh46GD8YdOrbk9KmzREfHptmuarWKfLt8Dm91Hcipkyk//Lh7PJxi07hJA5KTkggPv5F6F1axe80uhr42hKGvDWHP2j2EnAuhgfHa2aBVAy6fTf/aeXDLAV7p/Irp2ln7ldoc2noQgELFCpny5XPIR4U6FQj7PZSo8Ci6Vu5Kr3o96VWvJ5sXb2bHiu1W65A9iG/4a0MY/toQ9hrj8zXG59uqASGPia+ZWXy1zOIrXrEE780bzef9JnP5t0sptsvv9PAZmUbtG3P/n/ucOnDKarFlVt09Kc0a9qzZzcjmwxjZfBhB6wzx1TfGV79VAy4/ol0/lKpdr/Uv2nWngk6UqVmW/Rv3PTnzM7B2235oUzAVGlQGDKNL5etVNM12cXB7+MyrV1lvnAu5EnHZ8jeAtq/eQd9X+tP3lf7sWLuTi+cu0ah1QwAatW7IxbMXiU/n+h/8UzDNO7+GUor8jvmp90pd9gcaPoPs3riX6n7VTHFVqVeFS+cMN7jyFbA3te+V61amaOmi7N6w1+JxiReTrUfKUosH4pRSvlrr/UA34HFXpaPALKWUE5AAdAAetDz5gQdn+DuptvsawzTG5Vprq80bWzB2PoOnDaPDkE7cjb/DHLNVlf6z9GNWTfuBS2cuErw+iBKVSzFn31cArJm1iptXDXetS1cvw/C575Erb26UgnotfJk/eg6ngk88Ns3SFo/9in7ThtB2SEfuxt8hYIRhpGf00g9ZM20FIWcusX/9PopXLsn0ffMB2DBrtSmOx6UB+LZvyIldv3A3/k6av/24NGtZMnYBfacNpvWQjvwZf4evjKtAjlo6lnXTVhJy5hIH1u+jWOUSTN1nWDZ846zVRBljKlm9NAPnjiRX3lygazqWPQAAIABJREFUFLVb1Ofr0fM4E3wSn8ol6PZpT5KTkg1LRvecxL2/72VabP/WpBkB7N53kOjYOHoN/Q8F8tmz6fuMjyBnNZ+Pmc7HM8fQY/jb3I6/zbihk01p05dPYeHUJfx++g8q1azAZ/M/Jo99blCKpi0bMXHkFxzdZ92vY3gaQ4eMZcGiaYz5YAi3bsXTp9dIU9q6DYuZ8NkMTvx6hhkzx5MrZ05mz5loSu/dcwRnz/7BwoVf4urqTHKy5vbtO3Ts0Ntmi5zM/888hk0fzptDO3Mn/g4zhk83pX2y9FO+n/4dF09fZO/6vZSsUooFwYaltFfOWkHkFcM5+GrXV6nSoAqJ95NQSrHl2584sd/6K7dmRIAxvk5DO3M3/g4zzeL7aOmnrDDGF2SML8AY3yqz+PpN7M9LOV+m/+SHiw3PHDaNsD/CqNm0Fm37t0drzY2wCCb3mUhmsXbd2bpeH7TrHYd04k78nRSrJY5d+jErje36PmO7Ps/Yrq+etYpIs3Z9pFnbXb+FL/NGz+Gkse32b9+IY7t+5k4mtHnWbNsPbz6AT8XiTN09B52czOngkwStMoz+dRr9FkUrFCM5KYnE+4kEDJ+ZYvTMWmaOmc37M9+j27Cu3I6/w5ShX5jSJi2bwNIvv+X86QvsXLeb0lVKs2y/YTLV8pnfE3HFcJNq76YgSlUsyeK9X6OTkzm27zhbjcvll65SmoHjB5CclEx8bDwfvvsR/2TCqqfixaBs9eVvqZfEV0qNAvICG4GvgNzAZaC71jou1ZL4QcAorfUxpVR34AMgAjgJZNNaD1JKtQJmYOiYHQFqaK39jX8rBxAD1NRa//6Eour2Xi0tFndWsjbMsFpbF682Ni6JdfwQtoFuXm1tXQyrWR62nvvRl5+c8TmVw9mH2h7+ti6G1RwJDyJv7qK2LoZV3PnTMFu8RZE3bFwS6/jxyk+0ekFjA9h05acXtu7AUH9tX9B2HWB92OYXul0HaFyomY1LYh27r+0AULYuR0bEd2+Specv5l+y67n4P5qz2UiZ1joUKG/2+kuz5Nrp5H/X7Hd/s9+XkM5zYVrrTRieHUtPJQwLfDypQyaEEEIIIYQQVpXVpi9anVJqDNCfhyswCiGEEEIIIYTN/N91yrTWU4Apti6HEEIIIYQQzyVZfdHibL36ohBCCCGEEEL8X5NOmRBCCCGEEELYkHTKhBBCCCGEEMKG/u+eKRNCCCGEEEI8g2RbF+DFIyNlQgghhBBCCGFD0ikTQgghhBBCCBuS6YtCCCGEEEKIDNOyJL7FyUiZEEIIIYQQQtiQdMqEEEIIIYQQwoZk+qIQQgghhBAi42T6osXJSJkQQgghhBBC2JB0yoQQQgghhBDChmT6ohBCCCGEECLj5MujLU5GyoQQQgghhBDChqRTJoQQQgghhBA2JNMXhRBCCCGEEBkmXx5teTJSJoQQQgghhBA2JJ0yIYQQQgghhLAhmb4ohBBCCCGEyDhZfdHiZKRMCCGEEEIIIWxIaS0P6j2B/IOEEEIIIURmULYuQEbEtfPP0p+PHdYFPRf/R3MyUiaEEEIIIYQQNiTPlGVAJ6/Wti6CVawK2whAB69WNi6JdawJ20QXrza2LobV/BC2gdoe/rYuhtUcCQ/ifvRlWxfDanI4+9DDu72ti2EVi0PXAtDdu52NS2IdS0LXvbDtAhjahhe1XQBD2/BK4ddsXQyr2X51K295tbV1Maziu7D1AAzx7mTjkljH7NBVti5ChsmS+JYnI2VCCCGEEEIIYUPSKRNCCCGEEEIIG5Lpi0IIIYQQQoiMkyXxLU5GyoQQQgghhBDChqRTJoQQQgghhBA2JNMXhRBCCCGEEBmmZfqixclImRBCCCGEEELYkHTKhBBCCCGEEMKGZPqiEEIIIYQQIuNk+qLFyUiZEEIIIYQQQtiQdMqEEEIIIYQQwoZk+qIQQgghhBAiw2T1RcuTkTIhhBBCCCGEsCHplAkhhBBCCCGEDUmnTAghhBBCCPF/RSn1qlLqD6XURaXUmHTS31VKRSmlThp/epmlvaOUumD8eccS5ZFnyoQQQgghhBAZ95w/U6aUygbMA5oC14BflFKbtdbnUmVdpbUelGpbR+AToDqggePGbeOepUwyUiaEEEIIIYT4f1ITuKi1vqy1vgesBFplcNtXgJ1a61hjR2wn8OqzFkg6ZUIIIYQQQogXhlKqj1LqmNlPn1RZPIGrZq+vGd9LrZ1S6rRSaq1SqvC/3PZfkemLQgghhBBCiAzL6kvia60XAgsfk0Wlt1mq1z8CK7TW/yil+gHfAo0yuO2/JiNlQgghhBBCiP8n14DCZq8LAeHmGbTWMVrrf4wvFwHVMrrt05BOmRBCCCGEEOL/yS9ACaVUUaXUS8CbwGbzDEopd7OXLYH/Gn/fDjRTSjkopRyAZsb3nolMX7Qw96IeDJg+hLwF7Llz6zbzhs/iRmhEmnzKzo7u43pRya8qaM2mgHXsWbnriWlth3Skbov6JCcmkZSUzMovlnMq+CQAPT7rQ/m6FUm8d5+///ybpZ9+zeUzlywa26DpQ02xzRk+M93Y7Ozs6D6uN5X9qoCGDQHr2LNy5xPTHvDw8eSLwBlsXx7I8olLTX+77+QB5MmXh+wv5+DQjwdYM3OlxWJ7nIJFPehvVqcB6dSpsrPjnXG9qORXBa01mwPWE2Ssswq+leg0+i0Kl/Ji+7db+GHit5lS7qdV2KcQH8/8gPwO+YiPS2D80ElcDbmeJl9Nv+r0H9ObYqWLsmbJBuaMD7BBaZ/d1LmL2BV0kOsRkWxYHkAJH29bF+mx3Iq603PaINPx+PWIOdwMvZEij7Kzo+unPSjvVxmtNYEBG9m/ajcA9Ts0pGmPN9A6GTs7O4JX7mbX0kAAWg3rSMO3XuHWzVgALh77g+8+/jrT4+s1bXCK+CLTOd+6ftqDCsbzLTBgA8HG+FoMbk+tFvVJSkoiOTGJdVN/4DfjNbKgjwdvT+hDXod8AKycuJRzB05bPIaMtANP2wY8bfvQZlB76rxRn+TkZBSKjfPXcvingxaL15ptw6Dpw/Aq7WXaT5Ey3kztPZlju36m3ZCO1GvhS1JiEslJSfzwxXecCj5hkbgywrOoJ6NmjCSfgz0JcbeZOuxLwkPT3jC3s7Oj//h+VPevDlqzat5qtq00fIZ7a3hXWrz9BjGRMQCcPXaOeR/Oz7QYHihY1J2+ZsftV8Nnp3vuvT2uJxX9qoDW/BiwwdTWlfetRMfRXSlcyosd3wayIp22zt3HgwmB09i1fFu66dbkUtSdt6YNIE+BvNy9dYfvRswjKs21U9H+0+6U8auE1rArYBOHV+0xpVd5vTavDG4HSoHWzHtrArej47F3yc+bk3rjWMiVbDmys2Pueo5tPJCp8WW2rD598Um01olKqUEYOlPZgMVa67NKqfHAMa31ZmCIUqolkAjEAu8at41VSn2GoWMHMF5rHfusZXouOmVKqSBglNb62GPyvAtUT71sZWbrNakf25dt5cCGfdRv40fvyf35rPPHafL5tm5AQS93hvn1J6+DPZ8HTufMgdNEXbv52LRLJ8/z08KN3Pv7Hl5lvPlk1UT61ujO/X/ucXLvr3w77huSEpOo2qg6Q+e9x9AG/SwWW59J/dm2LJD9G/bh28aPvpMHMK7zR2ny1W/tR0Evd4b49cfewZ4vAmdw5sApoq7dfGwaGBquPpP688uOIyn2+dYH73Bk6yG2fRtIztw5mb5zDif2HufiqQsWi+9Rek7qx45lWzm4YR/12vjRc3J/Jqaq0/qtG1DQqyAj/AaQ18GeSYHT+O3AKaKvRXHzSiSLxsyn5mt1yPFyDquX91m9P2UE65ZuZNv6nbzatinvfz6SQR1HpMkXHhbB5Pem0rC5Hy/lfMkGJbWMxr51eKtDa94ZMMrWRcmQtyf2Yc+ybRzZuJ/arX15Z1JfpnYZlyJPnda+uHoX5AP/weR1sOeTLVM5d/A0MdeiOLb1CAfW7AUgZ56cjN8+g9+PnOXa72EAHFq/j9WTlmV6XA+8M7Eve5Zt4/DGYOq0bsA7k/ryRZdPU+Sp09oXN293xvgPIq+DPZ9u+ZKzxvhCTl1k+6LN3Pv7HoXLeDFm1WcMq9GL+//co+fUgez5bgeHN+zDzdud0SvG8UHDQdz7+55FY8hIO/C0bcDTtg/bvg1kw9y1ADi4OjB9zzxOB5/kbsLdZ47X2m3D3BEzTfvwKuPNJys+42TwrwBcPHmBH81iHrdqIn1qdOfeP5at00cZMnkQP377I3s27KVRm4YMnTKY99/8IE2+Rm0a4uHtQQ/fnuRzyMe8bXM5ceAEkca2b9e63SyakLk3QFLrPqkfu5Zt5eCGYOq1aUCPyf2Y3PmTFHnqtW6Am1dBRvkNJK+DPRPN2rqoK5F8MyaAGq/VJsfLadsEZWdHj0n9OL7jaGaFlEKnib3Yv2w7xzYeoHrr+nSa1Ju5XT5Lkad6a1+cvQvymf8w8jjkZfSWz/nj4Blir0VRuIIPrw3rwJwu47kdFU9O+1wk3ksEoM2Hb3Pl9GUW9f6SvI72jPpxCheP/pdbETG2CFVkkNY6EAhM9d7HZr9/AKQ9oQ1pi4HFliyPTF+0oHxO+SlarhgHN+0H4OCm/RQtVwx7x3xp8tZpUZ/dK3egteZ2bAK/7DhK7dfrPjHtVPBJ0weIsP+GohTYO9gD8OueYyQlJgFw/tc/cCrohFLpPYv4tLH5pIrNh3zpxFbPrPwJxvLXeb3eE9MAWg9ox/E9xwi/nOpOo4bc9nkAeCnXy2itiY+Jt0hsj5PPKT/e5Xw4ZIz70Kb9eJfzSVOntVvUY8/KnaY6O77jZ2ob44oMu0HY2RCSjXWTlTk4FaBUhZLs2GgYddixcTelKpSkgGP+NHmvhV7n/G8XSUrK+nE9TtVK5XF3c7F1MTLE3ikfXuV9OLrZMMJxdPNBvMqnPR5rvFGXfSt2mY7HEzt+pkbzOgD8fecvU76Xcr1M9hzZ0PqZn0+2iAfxHdlsuMN8ZPOBdOOr+UY99q3YmSo+wzXyN7Nr5NX/GjqaeR3yAlC4jDe/7TOMokSGRnD31h0q+Fe1aAwZbQeetg142vbhr9t/mv52zjy5QGuU3bN/BMistuGBRp2asn9jsOnD8KngE6liVuQ1xmxt+Z3yU7x8cYI27QMgaNM+ipcvTv50rpcNWjRg6w/bDG1XbDyHtx/C93XfTClnRjxs6wzn3qFNBx7Z1u1d+fDacmzHUWoZj7+HbV36QygtBrThxJ7j3LicdhTV2vI65aNQ+aIcN147j28+SKHyRcnrmPJYqfpGHQ6v2I3Wmjuxtzm94xcqN68NQMOer7Nn4Y/cjjJ89vj79l8k/nMfAM8yXvx33ykA7sTe5vq5UKq8XiezwhMvCKt0ypRSo5VSQ4y/z1BK7TH+3lgp9Z1SqplS6rBS6lel1BqlVF5jejWl1D6l1HGl1PZUczlRStkppb5VSk0wvu6ulDqvlNoH1DPL10IpdVQpdUIptUsp5Wbc9oJSysVsXxeVUs6WitvJ3ZnYyBh0suGCpJOTibsZi7NH2j/h7OFC9LUo0+uY69E4uTs/Mc1cg3YNibxyg9gbae/EvPpOc07sPWaxD1vO7s7ERsaSbIwtOTmZuJtxOKUbm7Np5Asg6nqUWWyPTitS2otKDaqw5evNpLZk/NfUfaM+C44uZv7BRWxeuDHFfqzFyd2JuHTqNHXcTqnqLPp6FI7uTlYvn6W5ergSdSMqRT1HR0bj5ulq45IJAEd3Z+JuxKY4Hm9FxuKQ6lhz8nAm5rrZNSQ8Gkeza0jlJtX5bMcMph4MYOvCzVz/44oprWaLeozbOo0Ryz6iWNWSVo4opfTii4uMTXMupY0v/fOtXjt/oq5EEnfDMKsk9MxlarcyfBD2Ku9DQR8PnDwt2yHPaDvwtG3As7QPTbq+wvTdc5kSOJ2FH8znzq3bzxxvZrQND2TPkZ36rRqwd/WudMvi164hNx7RJlqDi4cLMTdiUsQeExmLSzqxu3q6cPP6w/huXo/CxePhsefX0o+AHfOZ9P1EylQtbf3Cp+KYTlt3K922zpmYVMefYzrHX2qFS3tRsUFltn79o2ULnkEO7k7E34hFJxs+E+lkTUJkHAVSld3Bw5nY69Gm13HhMabra8ESnjgVcWPIqk9576cpNBvU1pTv6pkQqrYwdE4dC7lQtFpJHD0t9vEyS9LJWfvneWStkbJg4MEtoOpAXqVUDqA+cAb4EGiita4KHANGGNPnAO211tUwDAlONNtnduB74LzW+kNjh20chs5YU6CsWd4DQG2tdRUMXwY3WmudDHwHdDXmaQKc0lpH8xwqU6scnUZ2YdbgaWnS6raoT71WDfh67Fc2KNnTyZY9G/2mDGLR2ABTA2euaZdXCN4QRN9aPRjUoC/N332D4pUz9wOjEC+Kk7uO8VGz4XzQcAh12zSgoI8HAHu/38H7vgP45LWRbFu4icEL3ydPgbw2Lu3TKVWrLG1GvMlXQ2aY3vtm1FzK1C3PuMAvebV3Sy4c+y9JiYk2LKV1PKp92PX9dkY0HsSHrd+nzaAO5C2QOSNKllKjWS2iw6MIPReSJq1srXK8ObJrum1iVrflu0Deqfsu/ZsNYO1Xa/n0m0+wf87q5nGyZc9Gzyn9WTx2ganT9zyyy5YNj9JFmN9tArM7fUpZ/8rUaNsAgI0Tl2HvnJ/3t35B+0+7c+HQWdPMJSEyylrPlB0Hqiml7IF/gF8xdM58MaxsUhY4aJxa9xJwGCgFlAd2Gt/PBpiPcS8AVmutH3TUagFBWusoAKXUKuDBp/RCwCpjx+0l4MEVfDGwCZgJ9ACWpFd44xfM9QFYsGDBYwP179CI17q3AGDLN5txdHNC2dmhk5NRdnY4uDoSHZ623xcdHoVzIRcunb4IgJOnM9HGO7+PSwMoUbUUg2YO58vek4hINc2vxiu16PTeW0zo8jHx0c82vc+/Q2Ne7/4GAD99sxlHN0fs7OxITjYsEODg6kBMurFF41LI1VR+F08XokyxpZ/m4OqAm1dBPlhieA4hT748KKXInTc3Cz6YT/PubzDQty8At27G8duh05StVY6LJ88/U4xPEhMRg0M6dZo67hhjnV02xuXs6ZKizrKy1zu9Sqde7QFYuXANLgVdUtSzs5szkdetPyopniw2IhqHgo4pjscCbo7EpXpuISY8GidPF0JPGxb6ST2yZNpfeDSXT12kUqNq3LgcTkLULVPauQOniY2IxrNUEc4fPWfdwB6UJ534HNwciX1EfCGm+FKeb8WqlqTPjKHM7j2FG2bXyKirkczu/bnp9YSdM4m4mHYRm2cRExGdoXbgaduAZ2kfHrj6RxhxkbGUrVOen7ce/tcxZmbbYK5RxybpjpKVrFqKwTNH8EXviYRftmx9ptasY1Na92gFwPqvN+JU0ClF7E5ujkSlE/vN61G4erpy/pShzXL1dDE9TxYXFWfK9+v+E0SFR+Fd2pszR85YNRZzsem0dQXSbeuicTJr65w807+2mCtgbN/fW/IhALnz5UEpyJU3F4s/yJybx3ERMeQv6IiyU+hkjbJT5HNz4FZEyvjiwqNx9HTmivHa4uDhZBo5i70excmtR0m8l0jivUTO7DyGV6Vi/LI+mDuxt1k+fK5pP32XjCHSwtcW8eKzykiZ1vo+EAp0Bw4B+4GGQDEMHaSdWuvKxp+yWuueGL6I7azZ+xW01s3MdnsIaKiUymn+px5RhDnAXK11BaAvkNNYrqtApFKqEYZO3dZHlH+h1rq61rp6nz6pvwA8paA1e3i/+XDebz6c4HV7CT0XQj3j9Jh6rXwJPXeZ27EJabY7suUQjd9shlIKe8d81GhWi6OBh5+YVqxicYbNHcWM/p8T8tvlFPus2qg6b3/Ug0ndPrXI1L6gNbt5r/lw3ms+nH3pxBZyLoSEdGI7vOWgqfz5jOU/EnjosWnR4dH0rNKNgfX7MLB+H7Ys/pFdK3ew4APDClQ3r0ZS2c/w7EfOPLkoXbMsV/4Ie+YYnyQhJp6wcyHUNcZd9xF1enTLIRq92dRUZ9Wa1eTnwH//YccWtqzaxttNe/F2014ErtnOhbMXada6MQDNWjfm/G8XuBVr/ef3xJPdjkngyrlQarU0zNau1bIeYWdD0hyPxwIP49e5iel4rNKsJse3GhbPKVjMw5Qvr4M9ZWqX45px+mIBN0dTWuGy3jgXck3RqbE2Q3wh1G5ZH4DaLeunG98vgYfx69w03fiKVixG/zkjmDfgS8LOphxRsXd6+HxMvfYNSbx3n3MHLbv6YkJMfIbagadtA562ffAsXsj0u0thV7zL+XD9wtWnijEz24YHHAs6UbpmWQ5sDE6xz2IVizN87ntMSydma9ixeicDXh3EgFcHsWvtLi6du4x/Kz8A/Fv5censJeLTuV7u37Kf17q8ilKK/I75qfNKXQ5sNTzf5FTw4dRbn7I+uBV249qla1aPxVxCTDxXzoVQt5Xh3Kvbqj5hj2jrGr758NpSvVktfg48kt4uTWLCo+lf5V2G1+/H8Pr92L74J/au3JVpHTKAOzEJXD8XSjXjtbNay3pcPxvKndiUU3hPBB6hTufGhmcTHe2p2KwGp7YaFiY5vukgpX0rAmCXPRsl65XnuvG51dwF8mKXzfCRukSdcniUKsyxTS/26otolbV/nkPWXH0xGBiFYUTqDDAdwwjaEWCeUqq41vqiUio3hpGtPwAXpVQdrfVh43TGklrrs8b9fQM0ANYopdoAR4FZSiknIAHoAJwy5s0PPLhF8U6qcn2NYRrjcq21xceWvx4bwIBpQ2k3pCN34+8yz2zVqDFLP2L1tB+4fOYSweuDKF65BDP3GZYRXzdrNTevRgI8Nq3nhL68lPMlek8aYNrv3OEzufpHGP2/HEzi/URGBLxvSvusy8cWeW4AYOHYAAZNG0b7IZ24G383xYpYHyz9iFXTVnD5zEWC1wdRonJJZhvLv3bWqhSxPSrtceaNnE2P8X1o0bsV2XNk5+Dm/ZwM+tUicT3J4rFf0W/aENoO6cjd+DsEjJgFwOilH7Jm2gpCzlxi//p9FK9ckun7DJ3IDWZ1Vqp6GQbNHUGuvLlRSlGnRX0WjTasfJYVfT5mOh/PHEOP4W9zO/4244ZONqVNXz6FhVOX8PvpP6hUswKfzf+YPPa5QSmatmzExJFfcHTfL4/Ze9YzaUYAu/cdJDo2jl5D/0OBfPZs+v7xI+S2tGzsAnpNG0zLIR34M+EuX4+YA8CwJf9h4/RVhJ65xKH1wfhULsHkIEPaj7PXEHXVcKPGv0szyvlWIikxEaUUu5dt4+x+w6Wz3egueJX3QScnk3gvkUXDZ6cYPcsM345dSK9pg2g5pAN3E+6Y4hu+ZCwbpq80xrcPn8olmBJkuDO9efYaooznW7fP+vBSzpd4Z1Jf0z4XDZ/NtT+uUKVJDZr3a4PWmptXbjCn7xdWieFR7YAl2oCnbR86DO9MoZKFSbqfRHJyMks/XcT1i5b54J8ZbYN/+0Yc3/ULd+LvpPjbvSb046WcL9F3Un/Te3OGz8yUm3YAcz6Yw6gZI+k6rAt34u8wddiXprTPvh3PsmnLuXD6ArvX7aF0ldIs3v8NAN/P/IEbVwzLsXcf/S4lKhYnOSmZ+/cT+WLolylGzzLL4rEL6DttMK2Nbd2CEbMBGLV0LOumrSTkzCUOrN9Hscol+HLfPMDQ1j0490pWL82guSPJlTcXmLV1Z7JIW7dq7Ne8NW0Arw5px58Jd/luhCGGvkvGEDh9NVfPXOaX9cF4Vy7OR0GGY3jb7HXEGK+dv/54iCIVffjPruno5GR+Dz7FkVWGlWy9Khen3SfvopOTuRN7m4W9vuC+hVd1FS8+Za1Vt5RSjYFtQAGt9V2l1HngK631dONI1efAy8bsH2qtNyulKgOzMXSqsgMztdaLzJfEV0qNwzBNsSuGDtcHGKY5ngSyaa0HKaVaATMwdMyOADW01v7GcuUAYoCaWuvfMxCK7uTV+pn/H1nRqrCNAHTwamXjkljHmrBNdPFqY+tiWM0PYRuo7eFv62JYzZHwIO5HW//Ot63kcPahh3d7WxfDKhaHGpZe7+7dzsYlsY4loet4UdsFMLQNL2q7AIa24ZXCr9m6GFaz/epW3vJq++SMz6HvwtYDMMS7k41LYh2zQ1eBYeZYlhfp7581lu19BLegoOfi/2jOaiNlWuvdQA6z1yXNft8D1Ehnm5MYRsNSv+9v9rv5l2YsIZ3nwrTWmzA8O5aeShgW+MhIh0wIIYQQQghh5nld4TArey6+PNpSlFJjgP48XIFRCCGEEEIIIWzq/+rLo7XWU7TWXlrrF/zpSyGEEEIIIcTz4v+qUyaEEEIIIYQQWc3/1fRFIYQQQgghxLPRyc/dOhpZnoyUCSGEEEIIIYQNSadMCCGEEEIIIWxIpi8KIYQQQgghMkyWxLc8GSkTQgghhBBCCBuSTpkQQgghhBBC2JBMXxRCCCGEEEJkmNay+qKlyUiZEEIIIYQQQtiQdMqEEEIIIYQQwoZk+qIQQgghhBAiw2T1RcuTkTIhhBBCCCGEsCHplAkhhBBCCCGEDcn0RSGEEEIIIUSG6WRZfdHSZKRMCCGEEEIIIWxIOmVCCCGEEEIIYUPSKRNCCCGEEEIIG5JnyoQQQgghhBAZprWtS/DikZEyIYQQQgghhLAh6ZQJIYQQQgghhA0pLeOPTyL/ICGEEEIIkRmei7Xmw6o2ydKfj71+3fVc/B/NyTNlGfCWV1tbF8EqvgtbD0Anr9Y2Lol1rArbSAevVrYuhtWsCdtE3txFbV0Mq7nzZwg9vNvbuhhWszh0LfejL9u6GFaRw9kHgAHeHW1cEuuYH7qa/i9obAAB/wfxdfduZ+tiWM2S0HW0KdLC1sX4H3t3Hh/j8Qdw/DNxV4JcSFxJUOqmbolQqqXOOupoq67QoY4DAAAgAElEQVS4b9VDW0eLuuKmoi1C6xZHXXGHuFtHSqkirkjkRBSR7Pz+2BXZJAhNsvh936+Xl92d2Sfz3eeZeXaemWc2Q/hd3gBAP5cPLFySjDEreLmliyAsSKYvCiGEEEIIIYQFyUiZEEIIIYQQIs204aWbHfjCk5EyIYQQQgghhLAg6ZQJIYQQQgghhAXJ9EUhhBBCCCFEmsni7elPRsqEEEIIIYQQwoKkUyaEEEIIIYQQFiTTF4UQQgghhBBpJqsvpj8ZKRNCCCGEEEIIC5JOmRBCCCGEEEJYkHTKhBBCCCGEEMKC5J4yIYQQQgghRJppLfeUpTcZKRNCCCGEEEIIC5JOmRBCCCGEEEJYkExfFEIIIYQQQqSZNli6BK8eGSkTQgghhBBCCAuSTpkQQgghhBBCWJBMXxRCCCGEEEKkmUFWX0x3MlImhBBCCCGEEBYknTIhhBBCCCGEsCCZviiEEEIIIYRIM/nx6PQnI2VCCCGEEEIIYUEyUpZBCro60dN7ANb5bIiNuc0Pg2cQFnzdLI+ysuLj0d2o4FkZtGbDXD92L9sOQDmPirQb3okipYrhv2gTS8cuSvE3nNyc+W7TFLYv3pJqenpzcnWmT5KYZg+eTmiymB7G1WV0dyp6VgGtWTd3NTtNcT0prYJHJdoP/5CipYqxZdFGloxdmLjNJ6VlFCdXZ/p5D0yMd+bgaanGa2VlRZfRPajkWRk0+M1dzc5l256a1nZQe975qDHRYVEAnPn9DD99PS/D40pNiRKuzJs/GTs7W6KiovHqPpTz54NT5Pvs8/60adOU+PgE4hPiGTVyMju2BwDww7xJ1H+rDpGR0QD4rdnEpImzMzMMAAq4OtFtSr/E/fbjkJncCA41y6OsrOg0qivlPCuhtWbT3LXsXb4DAPe29Xm7a1O0NmBlZUXAsh1sX7gJgBaD2lH/w3eIuWHcZ/8cPcuSb37M3ACf0aRZ89m+O5Br18PwWzyXkm4uli7SE+V3deLjKX3Jnc+aOzGxLBoyi/AU+0/RblRXynhWRGvwn7uW/ct3AvDeoLbU/bARMTeMx+GFo2dZ/s1Pxm27OdHhux5Y29oAsHqsL2f2BWVidMb4OieJb+Fj4vsgWXyBSeLzTBbfMlN87/ZtxZtNa6MNBlCKrXP8+P23AxJfOing6kT3Kf3N2pbUzuudRnWlvGdlU9viR4CpbWnWvw01mrmTkJCAIT6B1ZN+5c+A4wAUdHPm4++8sLbNA8CysQs5ve9kpsX2OM6uzgzwHoyNrQ23o28zfbA31x9zHuw+2ovK9aqgtWbNnNVsX+YPQNsBH+DevC4J8QkYEhJYMsGX4wHHMjsU8rs68dGUPonHpu+Q2akem21HdeENz4qgwX/uOg6Yjk2Ayu/VpHH/1qAUaM3MD7/jdsRNaratR/2uTdBaY2VlReCyHexZuCWzQxQvuUzrlCmlgoGqWuuIZK/v11rXzsi/YQldxvViu+9mAv0CqNOqLl3H92J8h5Fmeeq0rEuBYgUZ5tkXa1sbxm6awp/7ThBxNZzwy2H89PlcqjWuSbYc2VNsX1lZ0XVcL373P5RZIdF9XC+2+m5mn98e3Ft50mN8b77t8E2KfB4t61KwmBODPHtjbWvDhE3eBO07SfjVG09MC7scis/ns6nRuFaKmJ+UllG8xvVmi+8m9vrtwaOVJz3H92F0h69T5HNv6UnBYk4M8OyNja0NEzdNJWjfCcKv3nhiGsCeNbtYPHZhpsTzJNNnfIfPvMUsX7aWD9q3ZMbMsbzXpFOKfEePnmDG9PncvXuPcuXfYMvWZZRwq869e/cB8J7yA/N+8M3s4pv5eKwXO323cHDtXmq29KDzuJ5M6jjaLE+tlh7kdynIF/X6Y21rw8iNkzgdeJLIq+Ec3XyQfSt3AZAzd07GbJ3KmYOnuHrmEgD71+xhxTjLxvgsGnjU4sO2LencZ5ili5ImHcb2IMB3K4fX7qV6Sw86jvNiescxZnmqt/TA0aUAo+oNJLetNV9snMiZwCCiroYDcGhNAGvGLU6x7Y8n9SFgiT+H/fbi6FKQQUtHMqr+QB7ci8uU2AA6ju3BniTxdRrnxbTHxDfSFN+XGyfyV5L4Dj4mvt2+W9gy2w+AvPltGbljKn8FnOTfW3cyPjCTVzm+zmN7stN3CwfWBlCrZV06j+vJxI6jzPLUaulBARcnPq/XD2tbG0ZtnMwpU9ty8cQ/bJ2/nrh7cRR5oxifL/+WQdW68+B+HN0m9WXnEn8O+O2hgIsTw5eO5ov6/YjLxGMzNb3G9WGz70b2+O3Gs1U9eo/vyzcdvkqRr24rTwq6ONGnbk9sbG2Ysnk6J/YdJ/zqDc4d/5t1PmuJu3cflzdc+G7FeLpW7Uzc/cyN7YOx3Qnw3cqRtfuo1tKd9uN6MLPjt2Z5qrX0wNGlIGPqDSK3rTWfbZzAWdOxWbS8G00GtWVGxzHcDr9JTptcxMfFA3B88yEOrtwNQI7cORmxdTLnDp4m5MzlTI0xM2mDTF9Mb5kyfVEpleVxaenVIXuR5LHPi0tZN/av2wfA/nX7cCnrho1dHrN8NZvVYdey7WituR11i6P+h6jxnvHjCLsUyqVTFzHEp/6T6c36tOLYzt8JvZDyilVGyGOfF9eyxQlctxeAwHV7cS1bPEVMALWaubNjmX9iXEf8D1HTFNeT0sIuhRJ86iIJqcT8pLSMYIzXLVm8buRJJd46SWK6ZYqp1nt1npr2onB0tKdipXKsXLEegJUr1lOxUjkcHOxS5N2xPYC7d+8B8GfQXygFdva2mVreJ7Gxz0Oxcm4cWh8IwKH1gRQrl7LuVWtamz1LH9W9Y/6HqdakFgD3Yu8m5sueKwdZs2VBa515QaSzKhXL4VTA0dLFSBNr+zwUKefKkfXGtvPI+n0UKeeKtZ2NWb43m9YmcOkOtNbERt3mhP8RqjSp+dTtF3qjGKf3GEcmwoND+TcmlrL1Kqd/II9h8wzx7UsW35tpiO/e7UfHbo7cOUEbr/xnllc5vodty0FTbAfX70u1banetA57lm5L1rYYz3F/BhxP7GRd+ct4kcfa1hqAIm+48Oce4+hRWPB17sTEUr5elUyJ7XHy2ufFrVxx9q4zzobYuy4At3LFUz8PNvVg29Ktiee6w1sPUsd0rjsecIw404W74L+CQSlsbG1SbCMjPWxbjprODUfXB6Z6bFZpWsusbTnpf4TKpmOzfrf32OGzgdvhNwHj8Rh//4HxcbLzRpZsWeAlPm8Iy3hqp0wpNVwpNcD0eKpSaqfpcQOl1BKlVAelVJBS6k+l1IQk74tVSo1RSh0CaiV5PZdSaotSqsfDfKb/6ymldiulVimlziilflFKKVNaE9Nr+5RSM5RSv5let1dK+Suljiml5gEqyd9Zq5T6XSl1SinlZXqtm1JqapI8PZRS3v/lA0yNnZM90WGRxikWgDYYiLkRhb2zg1k+e2cHIk1XBgEir0Vg52SeJzVFShejQt1KbP5xQ/oW/AnsnRyIShZT9I0oHJxTltfB2ZGIZHHZm+J6UtqLxMHJgaiwKAymeA0GA9E3olPsQwAHZ4fEkS+A8GvhSeJ9fBpAnWYeTN4yna8Wj+L1KqUyKpwnKlTYieshoWaxhl4Po1Bhpye+r2On97l48TIh1x5N/+jXvxuHDm9m6fJ5lCpVPEPLnRo7JweiQ6PM615YFLZO9mb57J0diLyW5DgMMa97lRpW5Vv/qUwKnMtmn/VcO/voamf1ZnUYvXkKQ3y/pniV1zM4ov8vtk72xIRGoQ3GLzPaoLkZFo1tsjbC1tmBqGuPJkREh0SY5XmzWW1GbJ5Ef98RuFYpmfj65aALVGvhDkCRcq7kd3PGrlDmtT9pjc8uWXxRyeKr+pj4ADw6vc3IHVP5cuMEfvlyHndiYjMwInOvcnyptS3RYVHYPbVtCU+RB6BO63qEXw4jOtQ4FTo46AI1W3gAUKycGwXdnLEvZNmLKfbODkQmOw9G3YjCwTlluRwLORKe5NweHhKOfSr56rd5i9BLoUSGRmZcwVNh62TPzVSOzXxPOTajQyITzx8FSxbCoWgBBi0fxWe/fc87/d43e2/5hm8ywn8yYwJnsd1nAyFnr2RwVOJVk5bpiwHAUGAGUBXIoZTKBrgD54AJwJtANOCvlGqptV4L5Ab+1Fp/A2DqX1kDywBfrXVq838qA2WBECAQqKOUOgrMA+pqrS8qpZYmyT8S2Ke1HqOUeg/wSpLWVWsdpZTKBRxRSq02/e2TSqnhWusHQBegZxo+gxdGlqxZ6PZ9b3w+nZV4chAvp22/bGHNrJUkxCdQwb0iw+d/yaAG/YiNuW3poj2Vu3sNvv5mCM2bfpz42ujRkwm9fgOtNR06vo/fukWUK1M38YT+Mjm+/SjHtx/FztmB/j7DCdr1B6EXQtj1iz+/zVpNQnwCZdwr0N/nM0Y0HJipX3zFk+39xZ/Ns9ZgiE+gtHt5evkMZ0zDwcZ7SIbNoc03nanZtj6h565y/ugZDPEJli7yM0keX2+f4Yw2xWdM38beX7bhXKoIXaYN4My+oJfq+HzV4wMoVaMMrYa0Z/JHj6Z1/jRsFh2++QT3tvUJOXeVc0f/IiE+3oKlTH9la5Sjw9APGdUp5W0AL4MsWbJQqHRRZn30HVmyZaXPoi+JDong8BrjSGLQ9t8J2v47ts72ePl8yqldx7iRSbOZLEEGAtNfWqYv/g68qZSyAe4DBzB2zjyAGGC31jpcax0P/ALUNb0vAVidbFvrgAWP6ZABHNZaX9VaG4DjgAtQGrigtb5oypO0U1YXWAKgtd6IsWP40ACl1AngIFAEKKm1vgPsBJoqpUoD2bTWKe7yVkp5KaWOKqWO+vj4POmzSVXU9UhsC9ijrIwfr7KyIl9+OyJDzG91iwyJwL7woytJ9oUciLr+5Nvh8uW3pUCxgny64Cum7vuBd7o2pX77hnQd3+uZy/k09dq+xYRNU5mwaSpFShXFLllMtvntiAhJWd6IkHAcksUVaYrrSWmWVq9tAyZtmsqkxHjtsDLFa2VlhW1+2xT7ECAiJALHwvkTnzsWckwS7+PTYsJjSDB9ITy57wSR1yMoWqpohsWX1IcftWH/wY3sP7iRMmVex8m5oFmsBZ0KcO1q6ieT6tUr8+PP3rT/oCfnzl1IfP16SFjiNL+lv64hd+7XKFToyaNt6S3qegS2Be3M614BO6Kvm1+VjQyJMLsKbe+cet2LCongwol/qPjWmwDcSrLPTu87SdT1CApl0j77fxB9PZJ8Be0Sp6QpK0XeArZEJ9s30SERZiNcts4OiXluhd9M7Gid2RdE9PVInEsVASDyyg3m9ZjE+CbDWTBwBnnz23L9n2uZEZqx3GmMLypZfHZpjC+pkLNXuHkjmtdrls2ocFJ4leNLrW2xLWBH1FPbFkezPMWrvI7X1IHM9JpA6IWQxNfDr4Qxo8cERjYZxryB0zL92HzorbYN8N48He/N0ylWqhj2yc6DdvntiAgJT/G+8GvhOCY5tzs6OxKZJF+pKqUYNH0I3/cYS8iFzI8r+nokeVM5NmOecmzaOtsnnj+iroVzbPMh4uPiuX/nHkHbjlKsYsoZIdEhkVw68Q/lTOcNIdLqqZ0y04hSMMZRpf3AXqA+UBx40h2M97TWyS9BBgKNH05LTMX9JI8TMI7kPW3CeIq+ulKqHtAQqKW1rggcA3Kakn8EPsEYz4JUN6i1j9a6qta6qpeXV2pZnuhW5E0un75IbdM0mdot3Ll0+gK3o26Z5Tu0cT/12zdEKYWNXR6qNqrB4U0Hn7jtyJAIelf+hMHuvRjs3outP//GrmXb+fmLH565nE+ze+VOPmsymM+aDCZg9S6CT1+kjml6RZ0WHgSnEhPAwY37adC+UWJc1RrV4NCmA09Ns7TdK3fwaZPBfNpkMHtSiffi6YvcSiXeAxsDE2PKY4rp4Kb9T02zK/Doni2XMq44Fs6faSerJYtXUbvme9Su+R6//rKGoJOnaduuOQBt2zXn5IlTREREpXhflTcrsGjxTD7s1JcTx0+ZpTk5F0h83KBhXQwJCYSEhCbfRIa6HXmLy6eDqdHceC9DjeZ1uHTqYorj9OimA3h2eFT3Kjeqzu+bjXWvYHHnxHzWtja8UbMsV03TF/Ml2WdFyrjgUDi/2Rcr8d/ERt7i6ulgqjU3tp3Vmrtz9dRFYqPMR4//2HSAOh0aoJTC2s6Gio2qcWyzcdGjvAUe3eNYuEwx7Ao7EmbaR9b2j+6FqdnGk/i4B5wNzLzVF2+nEt+Vx8Tn/hzxFSxeKDHNvrAjRcq4cP3c1YwOK9GrHJ+xbblITVNsNZu7p9q2HNl0AM8Ob6fatrhWKE7vmUOY3Wcyl05dNHufTZJjs06b+sTHPeB0YOavvrhz5Q6GNB7IkMYD2bVqJxdPX8SjhfFau0eLulw4dSHV8+D+jYG83eGdxHNd9XdqcmCz8VxXokJJhs7+jIm9vufCn+czNZ6HYiNvce10MFVN54aqzetw9VRwimPz2KaDZm1LhUbVOG46No+uC6S0RwUArLJmoVSdclwz3RtYIMl5I7etDSVrliXk7Ku7yIfIGGldfTEAGAZ0BYIAb4wjaAeBaUopB4yjVB2AmU/YzjfA18AcoHca//YZwE0p5aK1DgY+SFauTsB3SqnGwMPWPC8QrbX+1zQilngHsdb6kFKqCFAFqJDGMjyzn0fMo+eU/rQc0I47N2OZN2QGAMMWjmD1lGVcDDrPvjV7KF6pJJP3GJcN95u+gvArYQC8XrU0/WYNJZd1LlCKWs3cmT98NkGm5XMt4ccRc+kzZSCtB7Tjzs07zB4yLTHt84Vfs2LKr1wIOk/Amt2UqFSSaXvmArB6+gpumOJ6Ulqpqm8wcNZQclm/hlKK2s3cmTd8FicCjj8xLaP4jJhLvymDaDPgA+7cvMOsJPF+sfBrlk9ZyoWgfwhYs5uSlV5nhimmVdOXm8X7uLQOwz/CrXxxDAkG4h/EM3PwNGLCYzIsnicZOGAE8+ZP4fMvBhATcxOv7kMT01b7/cx3307l2B9BTJ02hlw5czJj5tjE9B7dhnDq1Fl8fCaTP78DBoPm9u1Y2rXtQUJC5k8N8x0xj+5T+tN8QFv+vXWHH4cYm6RBC75krfdygoPOs39NAG6VSjJ+tzFtw4yVhF8x3vtXr2MjynpUJCE+HqUUO3y3cGrvCQBaD+9IsXJuaIOB+Lh45g+ewS0L7bO0Gjd1Ljv2BBIRFU33gV+SL48N636xzE8vpMXSEfP5eEpfGg9ozb+37rBoyCwA+iz4nN+8V3A56AKH1gTgUqkko3ZPB2DTjFVEmvZfi+EdKVrOFYPBQEJcPIsGz+KW6cb8Cg2r0qhXC7TWRFwOY17PyZke368j5tN5Sl+aJIuv74LP2ZAkPtdKJRmdJL4IU3wtk8QXHxfPwiTxNR3cDqfXC5MQn4BOMLBi9AJCz2fuqMSrHN+iET50n9KP5gPacudWbGLbMnjBCPy8l5nalj24VSrJ97uNca+fsTLxvP7Rt15kz5mdzuMe3TUxf/AMrp69TOWG1WjSqxVaa25cDmVmz4mZFteT/PDlHAZ4D6LdwPbE3oxl+uDE2/L5auFIlnr/wvmT/7BnzS5er/w6cwKMbcuK6csIu2yM22tsb7LnzE7v8X0T3zttkDeXz17K1FiWjfiRj6b0SWxbfIcYv3v1XvA5G03H5uE1AbhUKsE3u43n+y0zVie2Lb9v2E/RCm58td0bbTDwV8AJDiw3rtRbp2ND3vCoYJxJoRQBvls5s9fyP2kgXi4qLauKKaUaAFuAfFrrO0qpv4EftNbeSqmOwBcYR7Q2aa2Hm94Tq7W2TrKNYIzTHiOBn4FwrfXwh/lMo1vDtNZNTflnAUe11guVUs2ASUAEcBgooLXupJSyxzid0QHYA7yP8f6228BaoBBwFnAERmmtd5u2/TlQSWvdPg2fkf6w2PtPz/USWnJpDQAfFGtp4ZJkjOWX1tK2WAtLFyPDrLy0DuvXXC1djAwT++9Furq0sXQxMszPwat4EHHh6RlfQtkc3ADo49LOwiXJGHOCV9D7FY0NYO7/QXxdXFpbuhgZZkHwaloVbWbpYmQIv8vGBc76uXzwlJwvp1nBy+HpM8ReCKeLv/dC31VW5vzGl+JzTCpNI2Va6x1AtiTPX0/y+Ffg11TeY53suUuSp12S5zN1mHYneb1fkvy7tNalTdMeZwNHTXkigUZJ8g1O8rjxE0JyB6Y+IV0IIYQQQgghMkWm/E5ZOuihlDoOnMI4NfG55t4opfKZRvnumjqaQgghhBBCCGFRab2nzKK01lNJh5EtrXUMID8sJIQQQgghxHMy6JduduAL72UZKRNCCCGEEEKIV5J0yoQQQgghhBDCgl6K6YtCCCGEEEKIF4OW6YvpTkbKhBBCCCGEEMKCpFMmhBBCCCGEEBYk0xeFEEIIIYQQaaZf6J+OfjnJSJkQQgghhBBCWJB0yoQQQgghhBDCgmT6ohBCCCGEECLN5Mej05+MlAkhhBBCCCGEBUmnTAghhBBCCCEsSDplQgghhBBCCGFBck+ZEEIIIYQQIs203FOW7mSkTAghhBBCCCEsSDplQgghhBBCCGFBMn1RCCGEEEIIkWZaW7oErx4ZKRNCCCGEEEIIC5JOmRBCCCGEEEJYkExfFEIIIYQQQqSZQVZfTHcyUiaEEEIIIYQQFqS03Kn3NPIBCSGEEEKIzPBSDEEdLdzyhf5+XPXq2pfic0xKpi+mQWeX1pYuQoZYFLwagMZFGlu4JBlj85XN9HRpa+liZJh5wStpVrSppYuRYTZc/o0ur2jdA1gQvJo+Lu0sXYwMMSd4BQAPIi5YuCQZI5uDG1WdPCxdjAxz9PreVz6+2GEtLF2MDGM9eR1dXdpYuhgZ4ufgVQBkzV7IwiXJGPFx1yxdhDSTH49OfzJ9UQghhBBCCCEsSDplQgghhBBCCGFBMn1RCCGEEEIIkWay+mL6k5EyIYQQQgghhLAg6ZQJIYQQQgghhAXJ9EUhhBBCCCFEmr3Q6+G/pGSkTAghhBBCCCEsSDplQgghhBBCCGFB0ikTQgghhBBCCAuSe8qEEEIIIYQQaSZL4qc/GSkTQgghhBBCCAuSTpkQQgghhBBCWJBMXxRCCCGEEEKkmZbpi+lORsqEEEIIIYQQwoKkUyaEEEIIIYQQFiTTF4UQQgghhBBpZrB0AV5BMlImhBBCCCGEEBYknTIhhBBCCCGEsCCZviiEEEIIIYRIM42svpjeZKRMCCGEEEIIISxIOmVCCCGEEEIIYUEyfVEIIYQQQgiRZgZt6RK8eqRTlkEKuDrhNaU/1vlsiI25jc+QmYQFXzfLo6ys+HBUVyp4VkZrzca5fuxZvgOA5v3bULOZOwkJCRjiE1g56Vf+DDgOQPfJ/ShbpwK3o28BcGTjATbMXp25AQKFXAsxdOpQbGxtuB19m8mDJhMSHJIin5WVFb3G9KJqvaporVkxewVbl20135ZbIWZtmcVG3438+N2PAAzxHkJl98rcjLoJwL6N+1g2c1nGBwbkd3Wiy5R+5M5nzZ2YWBYMmcmN4FCzPMrKivajulDWsxJaw5a5fgQu32mWp4CbM19tnMjuxVtZPW5x4rY/HN+T1/LkJmv2rBz9bT+/TVuZKXE95OzqzGDvIYn7znuwN9cfs++8RntRpd6baK1ZPWcV/sv8AWjQtiEturdAGzRWWazwX7qVDQs2mL2/kFshpm+ezibfTfw89udMia2AqxPdk9S9Hx9T9zqN6kp5U93bNNePAFPda9a/DTWS1L3VSepeQTdnPv7OC2vbPAAsG7uQ0/tOZkpcD+V3deLjKX0Tj81FQ2YRnuLYVLQb1ZUynhXRGvznrmW/6dh8b1Bb6n7YiJgb0QBcOHqW5d/8ZNy2mxMdvuuBta0NAKvH+nJmX1AmRvfsJs2az/bdgVy7Hobf4rmUdHOxdJGeSVG3Ioya/iV5bfNyM/omIweM5crFqyny1fCsRt8vvChR2o3lP69m+pg5iWndBnemUYsGJMQnkJCQwOzxPhzcfTgzw3isVzk+5eBMzvYDUblt0Hduc2/ZNHTE9RT5slasQ7aG7UAp0Jp7875Bx94kW8N2ZK3kAYYEMCQQt2kJCX8fs0AkRgVcneg2pZ9Z25naea/TqK6U86xkajvXstfUdrq3rc/bXZuitQErKysClu1g+8JNie+t9l4tmvVvk/g5TP5wDLcibmZqjEmVLOnGgp+mYWdvS1RkNJ90Hcg//1xMkW/El4No16458fEJxMfH8/XX3+O/bQ8Ar79enNkzx2PvYAvA8OFj2L5jb6bGIV4dL0SnTCn1CeCvtQ4xPQ8GqmqtI9L572wCOpqedtRaz3lS/v/ik7E92eG7hf1rA6jdsi6fjOvJhI6jzPLUbulBARcnhtfrh7WtDWM2TuZU4EkiroZz4cQ/bJm/nrh7cRR5oxhfLP+WgdW68+B+HAAb5/qx3XdzRhU/TfqN78eGRRvY5beL+q3q0//7/nzR/osU+eq3qo+zizPdPLqRxzYPs7bM4ti+Y9y4egMwfvEf8P0ADmw9kOK9K2avYMOiDSlez2idxnqx23cLh9bupUZLDzqN68nUjqPN8tRo6Y6jS0G+rjeA3LY2fLVxImcCg4i8Gg6YTl7jvDjuf8Tsfa2/+JA/Nh1kt+8WcryWk5H+3vy56xjBJ/7JtPj6jOvLRt/f2O23m3qt6tF3fF++6jAiRT7PVvVwcnGmZ10vbGxtmL55Bsf3HefG1Rvs3xzIjpXbAciVOxezts0m6EAQwWeCAeN+7Tu+Hwe3Hsy0uAA6j+3JTt8tHFgbQK2Wdek8ricTk9W9Wqa697mp7o0y1b3Iq+FcPPEPW5PUvc+Xf8sgU93rNqkvO5f4c8Bvj7HuLh3NF/X7EXcvLtPi6zC2BwG+Wzm8di/VW3rQcZwX0zuOMctTvV95JDsAACAASURBVKUHji4FGFVvILltrfnCdGxGmY7NQ2sCWGO6SJDUx5P6ELDEn8N+e3F0KcigpSMZVX8gDzIxvmfVwKMWH7ZtSec+wyxdlOfyxYShrFzox+bV/jRu3YgvJw6jd9tBKfJduxTC2GETees9T7LnyG6WdurYXyz5YRn3796nZJni+KyZybuVWnL/Bdhvr3J8Odr05sH+TcT/sYesVTzJ0aYP93742iyPVeESZG/Ugbs/fIW+HQM5X4P4BwAYLp/j7p618CAOKycXcvUZy53RXSDeMnF9PNaLnb5bOLh2LzVbetB5XE8mJTvv1WrpQX6XgnxRrz/WtjaM3DiJ06a28+jmg+xbuQuAnLlzMmbrVM4cPMXVM5dwKV+cFoPaMbHjaG6Fx5DL5jUexD2wRJiJ5sz6njk/LOTXX9fQseP7zJ09gbffaZci35Ejx/Ce+gN3796jQoUy7Ny+isJFq3Dv3j1+mu/NDz6+/PLLakqUcGW7/0reKOvO3bv3LBCReNm9KPeUfQI4p8eGlFKP7WhqrZtorWOAfECf9Ph7qbGxz0Oxcm4cWL8PgAPr91GsnBs2dnnM8lVvWofdS7ehteZ21C3+8D9MtSa1Afgz4HjiF70rf11CAda21hlV5GeW1z4vJcqVYM8649WiPev2UKJcCfLa5U2Rt26zumz5dQtaa25G3WT/1v14vOeRmN6ubzsO7zjMtQvXMq38T2Jjn4ei5Vw5vD4QgMPrAylazhXrZPuvatM67Fu6A601sVG3OO5/hDeb1EpMf7d3S4J2/E7YRfMRKK0hl81rAGTPlR2N5nZk5l0tzGufl+LlihOwLgCAgHUBFC9XnDzJ4gPwaOrB1qVb0VpzK+oWB7cepM577gDcjb2bmC9HrhxkyZYFrR/NZ2jTpw1Hdhzm2sWUI3AZ5WHdO2iqewefUPf2JKl7x55Q9+BR3Svyhgt/7jFeyQ4Lvs6dmFjK16uSKbEBWNvnoUg5V46Y4juyfh9FyrlibWdjlu/NprUJTDw2b3PC/whVmtR86vYLvVGM03uMo4LhwaH8GxNL2XqV0z+QdFSlYjmcCjhauhjPxdY+H6XLv85WP+PFja1+2yld/nXy2edLkfdq8DXO/nmOhPiEFGkHdx/m/t37AJw7fR6lFHltU7bFme1Vjk9Z5yVLITfijxlHReKP7SVLITfIbd7WZKvbnLjdfsYOGcC9fxM7ZQl/H4MHxrbGcD0YUKjc5nU5szxsOw+ZznuH1gem2nZWa1qbPUu3J2s7jee9e0nOCdlz5SBrknPC292assVnA7fCjZ/D3dv/En/fcp0yR0d7Klcux7JlawFYtmwtlSuXw8HBLkVe/217EjtZJ0+eRimFvb1xZKxChTJs3WrsiP7zz0WioqN59923MikK8ap5rk6ZUmq4UmqA6fFUpdRO0+MGSqklSqlGSqkDSqk/lFIrlVLWpvRvlFJHlFJ/KqV8lFEboCrwi1LquFIql+nP9De9P0gpVdr0/txKqZ9N2zimlGphev0T09/ZAPgrpZyUUgGm7f2plPIw5QtWSjkA3wPFTemTnv/jS529kwMxoVFog/H3zrXBQExYFHZO9ub5nB2IvBae+DwyJDxFHoA6retx43IY0aFRia+9070Z323xZoDPZzgVL5TeITyVo7MjkaGRGEwxGgwGosKicHB2SJm3kCM3rt1IfB5+LRxHZ+OXKJfSLlTxrILffL9U/06rHq2Ys20OX//4NUVKFMmASFKyTXX/RWObbN/YJdt/USHhiXkKlS5K2boV2f7TxhTbXzFmAVWb1ub7g/MYt28O2+atTxxdywwOzg5EhSXbdzeiEvdJUo6FHAm/mmTfhYTjmGQfV3+7OrO3z+an/T/j98MaLp01dmJcSrtQ2bMK635cl8HRmLNzciA62b6L/o91LzxJ3QsOukDNFsYLCsXKuVHQzRn7QpnXIbB1sjcdm8YvOtqguRkWja2Teb2zdXYg6tqjiQbRIRFmed5sVpsRmyfR33cErlVKJr5+OegC1VoYO91FyrmS380Zu0Ip67RIHwUK5edGaIRZXQwPi6SAc/7n3uZ7bd/l6qUQblzPvDblcV7l+FReBww3o0AbY0Mb0LeiscpnXl+sChTByr4gufqMI9cgb7I1aJvq9rJWrY8hMhR9MzKji56q1NrOmLCoFOe9lG1nBHZJ2pZKDavyrf9UJgXOZbPPeq6dvQyAc8nCOBbNz2fLxzDyt4k07dc6E6J6vCKFnbkWEmp2bIZcD6NI4SePD3z0UVvOX7jEtWvGaap//HGSDu1bAVClcnlKvV6cYkULZ2zhXxAG1Av972X0vNMXA4ChwAyMHaocSqlsgDsQBHwFNNRa31FKfQYMAcYAs7TWYwCUUouBplrrVUqpfsAwrfVRUxpAhNa6ilKqDzAM6A6MAHZqrbsqpfIBh5VS201lqgVU0FpHKaWGAlu11mOVUlmA15KV/3OgnNa60nPGn2lK1ShD6yHtmfjRo+lJqyf9SsyNaLTW1Hnfk2GLvmZY3T6JjenLIkvWLAycOJCpQ6cmNoxJLZq4iKiwKLTWNGjdgG8Xf0vXOl1TzfsiscqahY++78WiYXNS3Sd1O77NIb8A/H3Wk8cxH0OXjSY46DzBxzNv+mJ6ObztMIe3HcbR2ZER80dwdNdRQi+H0m9Cf6YPm/bC76snKVWjDK2GtGdykrr307BZdPjmE9zb1ifk3FXOHf2LhPh4C5by2e39xZ/Ns9ZgiE+gtHt5evkMZ0zDwdyJicV32BzafNOZmm3rE3ruKuePnsGQysiFeDFVqVWJ3p91p+8Hgy1dlAzxUsZnZYWVkwt3530DWbORq/tIdEwE8b/vepTFrSzZ3+nEXZ+RFixo+ji+/SjHtx/FztmB/j7DCdr1B6EXQsiSxYrCpYsx5aMxZM2WlcGLviIqJIL9a/ZYushpVtejJqNHfsq7TTokvta1+2CmTB5F584f8NdffxMYeIQHDyw7LVO8vJ63U/Y78KZSyga4D/yBsXPmAawHygCBps5VduDhzUL1lVLDMXaS7IBTwONuGFqT5G+9b3rcCGiulHp480BOoKjp8Tat9cOhpCPAz6aO4lqt9fFnCU4p5QV4AcybN+9Z3gpA5PUI8hW0Q1lZoQ0GlJUV+QrYEXXd/ApYZEgE9oUcuXjyPAD2zo5EJLkCVbzK6/ScOpDpPb4n9MKjKWDRYY9GzALX7KHj112wc7I3u3qVEd5u9zYturYAYO2Pa7EvaI+VlRUGg/GmXrsCdkSEpLwNMPxaOPkL5efvE38DppGzqzewy2+HUzEnxiwyfunNnSc3Siles36NGZ/PIDL00ee1Y/UOvEZ64eDkYDbqlhGiU91/tkQn239Rpv13ybT/7JwdiboWTt78tjgWLUC/hcb7617LkxuFIpf1ayz5ch71P2nCV3X7AnArPIazB/7k9eplMrRT1qBtQ5p3bQ7Aup/WYlcg2b7Lb0d4SMrjJ/xaOI6F83Pu5DnAOEKa2ucfHhLO3yfOUa1BdQI37sOpWEFGLhwFPNqvuWxeY/bnszIsRoCo6xHYJtt3ts9Z97ymDmRGsroXfiWMGT0mJD7/bts0rv+TedNuo69Hmo5NhTZolJUibwFboq+b17vokAjsCjkkHpvGkTNjfLfCH02VPbMviOjrkTiXKsK5Q38ReeUG83o8mjzw9TbvTI3v/0GzD5rQvnsbAH71WUH+gg5mddGxgD1hIc/expV/syxjZn7F0C5fcun8lfQudpq96vE9pG9GYJXXDpSVcbRMWaHy2GKIMa+LOjqc+JP7ISEeEuKJP3UIq6IlwdQpsypWipwdh3BvwVh0uOXqWmptZ74CdinOew/bzuDEttMh1e8eUSERXDjxDxXfepPQCyFEXovg980HiY+LJz4unmPbjuBasUSmdso6f9yO/v27AzB9xnwKORc0OzadnQpw5Wrq0+1r1niTRQtn8n7rLvz99/nE1y9evMz7rbsmPj95Yhdnzrx8F1jFi+G5pi9qrR8AwUAXYD+wF6gPFAcuYuwgVTL9K6O17qaUygnMAdporcsD8zF2qh7nvun/BB51HhXQOsm2i2qt/zKl3UlSvgCgLnANWKyU+vgZ4/PRWlfVWlf18vJ6lrcCcDvyFpdPX6RWc+M0oFrN3bl86iK3o26Z5Tuy6QD1OryNUgobuzxUaVSdo5uNiyK4VihO35lDmNVnMpdOma8GZFvg0ZzncnUrYUgwEB2a8VMetq3YRr93+9Hv3X5sX7WdC6cv4NnCEwDPFp6cP3U+caXEpPZu3Mu7Hd813gdgl5fa79QmcHMg4SHhtK/Ynk9qf8IntT9h7U9r2bJ0CzM+nwGAfcFH0yaqeFbBkGAgIjRd135J1e3IW1w5HUz15nUAqN68DldOXSQ22f77fdMB3Ds0QCmFtV0eKjWqxh+bDxIdEsHQKt0Y4d6XEe592fHzRvYu286SL40d/MgrNyjraRykzZE7JyWqleba35czNKYdK7czsPEABjYewM5VO7l4+iJ1W9QFoG6Lulw4dYFbyeIDCNy4j3c6vINSijx2eaj5Tk32bzbec1C4+KMpGnls81C+VnkunQkmPCScTpU60b1ON7rX6cb6n9fjv3RrhnfI4FHdq2mqezWbu3PpMXXPM0ndq9yoOr8nqXu9Zw5hdip1z8b+0f0VddrUJz7uAacDM2/1xdjIW1w9HUw1U3zVmrtz9dRFYqNum+X7Y9MB6iQemzZUbFSNY5sPAZC3gG1ivsJlimFX2JEwU8fTOkl8Ndt4Eh/3gLOBL/bqiy+bDcs30entrnR6uysbV27h71P/8E6rhgC806ohZ/88R0xkzDNts0zF0oyfN5rPenzD2aC/M6LYafaqx/eQjr2JIeQiWSsbpzNnrexBwrWLcMe8rYk/FkCW102TcqyykKVkRQwhxnbFqkgJcn74Kfd8J2C4diFTy5+cse0MpobpvFejeZ1U286jmw7g2aFhqm1nweKPpv5Z29rwRs2yXDVNXzy4bi9lPSoCxlkyZeqUT7xnN7Ms8l1B1WqNqFqtEYsXr+TEiVO0b98SgPbtW3L8+CkiIqJSvK/qmxX59Ze5fNDei2PH/zRLc3R89D3l44/acf9+HDt2/n+svqhRL/S/l9F/WX0xAOO0wq4Ypyx6YxzVOgjMVkqV0Fr/o5R6DSgMPLw0FmG6x6wNsMr02m0gLXe3bsV4r1l/rbVWSlXWWqdYP1YpVQy4prWer5TKDVQBfJNkSevfe26LRvjQY0o/Wgxoy51bsfgMmQnAkAUjWOO9jOCg8wSu2UPxSiWZuNv4ZXXdjJWEXwkD4ONvvciWMzufjOuZuE2fwTO4evYyPab0J49DXrTW3L39L9N6jMeQkPnTxGZ+MZOhU4fScVBHYm/GMnnQ5MS0MYvGsHjKYs6dPMfO1TspXbk0P+01Lrv967RfCb0c+rjNJhrqPZR8jvnQBs2/sf8yuuvoTIvzlxE+dJnSj/cGtOHfW3dYMMS4j/ot+IIN3su5FHSBg2sCcK1Ukm93GzuRG2esIuLK068ALxw2m/aju9KwRzOyZM3K0Q2BnNr9TIO5/9mcL2czyHsw7Qd2IPZmLFMHeyemjVw4il+8l/DPyX/YtWYXr1cuxbwAHwCWTV9K2GXjMfpup3epXLcy8Q8SUEqxcdFvHNtrueWcH1o0wofuU/rR3FT3fjTVvcELRuBnqnv71+zBrVJJvjfVvfVJ6t5H33qRPWd2Oiepe/NNda9yw2o06dUKrTU3Locys+fETI9v6Yj5fDylL40HtObfW3dYZDo2+yz4nN+8V3A56AKH1gTgUqkko3ZPB2DTjFVEmo7NFsM7UrScKwaDgYS4eBYNnpU4elahYVUa9WqB1pqIy2HM6zk59UK8QMZNncuOPYFEREXTfeCX5Mtjw7pfnn2Gg6WM+2wyo6ePoPvgT7h98zYjB3yXmDZ9yUR+mPQTf504S8Xq5Rk3dxS5bYwjz41aNODboRM4uPswn30/hBw5c/DlxEcrUH7T/zvOn7HsF314teO7t2ouOTsMIvvbH6Dv3uHe0mkA5Oz2NXFbl2K4+g/xx/diVbgEr306C601CWePEX/YeNdFjvd7obJlJ0fr3onbvL90GobQzO2sPOQ7Yh7dp/Sn+YC2/HvrTmLbOWjBl6z1Xm5qOwNwq1SS8buNaRtmrCTc1LbU69iIsh4VSYiPRynFDt8tnNp7AoDDGwJxqVCc77ZPQxs0fwYcT1xK31L69PucBT9N46sRg4mJjuGTro9WBd2wzpdRoyfz+x8nmTlzHLly5WTOnEezJD7pMoA//zxDs6aN+HRYXzSaC+eDadO2myVCEa8IlXS1tGd6o1INgC1APtO9Y38DP2itvZVSbwETgBym7F9prdcrpb4D2mMcZbsCXNJaj1JKtQbGAXcx3hv2F6Yl8ZVSVYHJWut6pkVApgG1MY6aBWutm5qW1K+qte5nKltn4FPgARALfKy1vph0qX2l1K9ABWCz1vrTJ4SqO7tY9obUjLIo2PjbZo2LNLZwSTLG5iub6emS+k3Vr4J5wStpVrSppYuRYTZc/o0ur2jdA1gQvJo+LimXX34VzAleAcCDCMt3CjJCNgc3qjp5PD3jS+ro9b2vfHyxw1pYuhgZxnryOrq6tLF0MTLEz8HGa/lZs2f+AmeZIT7uGvByDPPsKPDBC/3z0Q3Clr8Un2NSzz1SprXeAWRL8vz1JI93AtVSec9XGBcBSf76aiDprx+7JEk7CtQzPb4L9CQZrfVCYGGS54uARankS7rdjsnThRBCCCGEEE/28i7j9eJ6UX6nTAghhBBCCCH+L0mnTAghhBBCCCEs6L8s9CGEEEIIIYT4P/OyrnD4IpORMiGEEEIIIYSwIOmUCSGEEEIIIYQFyfRFIYQQQgghRJrJ6ovpT0bKhBBCCCGEEMKCpFMmhBBCCCGEEBYknTIhhBBCCCGEsCC5p0wIIYQQQgiRZnJPWfqTkTIhhBBCCCGEsCDplAkhhBBCCCGEBcn0RSGEEEIIIUSaaZSli/DKkZEyIYQQQgghhLAg6ZQJIYQQQgghhAXJ9EUhhBBCCCFEmhlk9mK6k5EyIYQQQgghhLAg6ZQJIYQQQgghhAXJ9EUhhBBCCCFEmhlk9cV0JyNlQgghhBBCCGFB0ikTQgghhBBCCAuS6YtCCCGEEEKINNOWLsArSGktH+tTyAckhBBCCCEyw0txs9bagh1f6O/HLUN/fSk+x6RkpCwNAgu2sXQRMkSd0FUA9HRpa+GSZIx5wStZWOhDSxcjw3xybQktija1dDEyzLrLv/FBsZaWLkaGWX5pLb1d2lm6GBlibvAKAKo6eVi4JBnj6PW9PIi4YOliZJhsDm48uHHO0sXIMNnyl2RUsU6WLkaGGXXpF0rnr2bpYmSIMzeOABD72fsWLknGsJ6wxtJFEBYknTIhhBBCCCFEmhksXYBXkCz0IYQQQgghhBAWJJ0yIYQQQgghhLAg6ZQJIYQQQgghhAXJPWVCCCGEEEKINDOol25xwxeejJQJIYQQQggh/q8opd5VSp1VSv2jlPo8lfQhSqnTSqmTSqkdSqliSdISlFLHTf/Wp0d5ZKRMCCGEEEII8X9DKZUFmA28DVwFjiil1mutTyfJdgyoqrX+VynVG5gIfGBKu6u1rpSeZZKRMiGEEEIIIUSa6Rf8XxpUB/7RWl/QWscBy4AWZjFqvUtr/a/p6UGgcNo2/XykUyaEEEIIIYR4ZSilvJRSR5P880qWpRBwJcnzq6bXHqcbsDnJ85ym7R5USrVMjzLL9EUhhBBCCCHEK0Nr7QP4PCFLaiuVpDrIppT6EKgKeCZ5uajWOkQp5QbsVEoFaa3PP3eBkU6ZEEIIIYQQ4hkYLF2A/+4qUCTJ88JASPJMSqmGwAjAU2t9/+HrWusQ0/8XlFK7gcrAf+qUyfRFIYQQQgghxP+TI0BJpZSrUio70B4wW0VRKVUZmAc011rfSPK6rVIqh+mxA1AHSLpAyHORkTIhhBBCCCHE/w2tdbxSqh+wFcgC/Ky1PqWUGgMc1VqvByYB1sBKZfxdtsta6+bAG8A8pZQB4wDX98lWbXwu0ikTQgghhBBCpJnhFfjtaK31JmBTste+SfK44WPetx8on97lkemLQgghhBBCCGFB0ikTQgghhBBCCAuS6YtCCCGEEEKINDOkuqK8+C9kpEwIIYQQQgghLEg6ZUIIIYQQQghhQdIpE0IIIYQQQggLknvKhBBCCCGEEGmmLV2AV5CMlAkhhBBCCCGEBclIWSbJ6eZEyRn9yGZrw4Po25zrP5N7F0PN8uRvXx9nr6ZogwGVxYqwJTu4/tOmp6ZZQn5XJ7pM6UfufNbciYllwZCZ3Ag2j0dZWdF+VBfKelZCa9gy14/A5TvN8hRwc+arjRPZvXgrq8ctBmDQkq+xtssDgFUWKwqVKsqYd4dy7czlzAkumTxuBXGf1pMcttbcj45l78AfuH0xzCxPhUEtcW1eE52QgCHewB/fryBkTxAANcZ2xtm9LAlxD3hw5z6Hv1lM5MmLlgglkbOrMwO9h2Bja8Pt6NtMG+zN9eCQFPmsrKzoMdqLyvXeBK1ZPWcV25b5A9BuQHs8mnuQEG8gISGBJRN8ORbwBwCF3ArRa2wf8pj248/f/cSJvcfTrfxOrs708R6AdT4bYmNuM3vwdEKDr5vlUVZWdBndnYqeVUBr1s1dzc5l2/9T2vsD2lG7mTuG+AQSEgwsm7iYEwHGuFr1a0Otpu4YDAYUirVzVnHgt8B0i/mh/K5OdJ7SN7HuLRwyi/AUdU/xwaiulPGsiNbgP3dtYt17b1BbPD9sRMyNaAAuHD3Lsm9+AuDdvq14s2lttMEASrF1jh+//3Yg3WN4FkXdijBq+pfktc3LzeibjBwwlisXr6bIV8OzGn2/8KJEaTeW/7ya6WPmJKZ1G9yZRi0akBCfQEJCArPH+3Bw9+HMDOO5TJo1n+27A7l2PQy/xXMp6eZi6SI9k+DL1xgxzpuYm7fJl9eGcSOGUKxIIbM8EZHRjJ48i6shYcQnxOP10Qc0e6f+U9NeBPauBWnp3YvX8lnzb0wsfoPnEhVsfm4o7lGeBsPbkb9UEQ4v8sd/7K+JaZXa1qVWt8Zog0ZlseKPpbs4tHBrZofxWC5uRfl+1kjy2eYlJvomn/UdxaWLV1Lkq1OvBoO/7MPrb5RgyU8rmDhquln6u80b0mdIN1AKtKZL275EhkdlVhipUg5O5Gw3APWaDfrf29xbPgMdeT1FvqwVapPtrbaJZb/34yh07E2yVn2LbO5NQWtQVsQf3saD/Zb7TiZeDS98p0wplQ/oqLWe89TML7DiE70IXbCF8NV7cWztQfFJPTnVZrRZnsjfDnJj2S4AsuTOSaU9U7m5/xT//nXpiWmW0GmsF7t9t3Bo7V5qtPSg07ieTO1oHk+Nlu44uhTk63oDyG1rw1cbJ3ImMIjIq+GA8ctvp3FeHPc/Yva+aR9+m/i4YqNqtBja3mIdMoBa33fhzMLtXFgTiNv7dag9oStb2403yxNx7DynfthEwr04bMsUpfGqESyv0o+Eew+4tusEh0cuQccnULhhJTzn9mNNnaEWisao97i+bPL9jT1+u/FsVY8+4/vydYcRKfJ5tqqHk4szvet6YWNrw9TNMzix7zg3rt7g3PG/WevjR9y9+7i84crYFePpUvVj4u7HMWDyIDYv2cTuNbtwcnHmu+Xj6O3Zk7h799Ol/N3H9WKr72b2+e3BvZUnPcb35tsO35jl8WhZl4LFnBjk2RtrWxsmbPImaN9Jwq/eeO6088f/5jeftcTdi6PYGy6MXD6WntW68OB+HFsWbcJv1ioAbPPb4r1zNicDjnPn1p10ifmhjmN7sMd3K4fX7qV6Sw86jfNiWscxZnmqt/TA0aUAI+sNJLetNV9unMhfgUFEmerewTUBrDFdBElqt+8Wtsz2AyBvfltG7pjKXwEn+TedY3gWX0wYysqFfmxe7U/j1o34cuIwercdlCLftUshjB02kbfe8yR7juxmaaeO/cWSH5Zx/+59SpYpjs+ambxbqSX378VlVhjPpYFHLT5s25LOfYZZuijPZcyU2bRv1ZRm79Rnw9ZdjJ48m5+njzPLM3HWj5QtVYKZ478mKvom7boPomqlcjgVcHxi2oug6biuHPHdxkm/QCq0qkOz8d1Y1ME8vujLN1j/+Y+UaVydrDmymaX9tfkIx1cGAJA9d076+E8g+OBpws6k7PhYwqhJn/PLz6vYsGozzdo0ZvTkL/ikdZ8U+a5cusbXQ8bSqOlb5MiZwyytXMU36PdpDz5p3YeIG5FY2+QmLu5BZoXwWDla9eLBgc3EHwsga+W65Hi/F/fmjzTLY1WoONkbfsBdn5Ho2BjI+RrEG8seH3SA+KOmi8zZc/LakOkkXDiFIdQy38kswSAr4qe7l2H6Yj4gZSvwEsnmkAfr8m6E+xmvmof7BWJd3o2s9nnM8iXE3k18bJUrB1ZZsxivwjwlLbPZ2OehaDlXDq83xnN4fSBFy7kmjm49VLVpHfYt3YHWmtioWxz3P8KbTWolpr/buyVBO34n7GLKEZqH6rR9i/0rdmVMIGmQ0z4P9uVcuLh2PwAX1+7HvpwLOexszPKF7Aki4X/s3Xd0FFX7wPHvbOikb3ooSWgBQpVOAihFAWkiIMLvVRCRJhKKIPhSlC69SFEBERRQqdJBIBQRlBYInSRAem/U7M7vj40JSyIETTKB9/mck3N2996dPDd32jP3ziTjBC8h6CYoCsXtTHVu7zuDmm4AIObPa5R2tTddddOIjd4GL58KHN5iOhk4vCUAL58KmaNaj/J93Y89P+xGVVWS45P5ffdxmrb3BeB0wKnMJCvkYjCKomCV0WaPap6cOvgnABEh4aQmpvDSyy/lSfzWehs8q1fg6JbDABzdchjP6hWweiz+xh182b9uw+1ZYQAAIABJREFUD6qqkhKfzMk9v9OofZN/VXY24AwPMvo59GIIikJmm++m3Mn83SVKlwRVRdHl7S7WSm9NWR9PTm49AsDJrUco6+OJ5WPr40uvN3lk20vh7J6TvNSu0VOXfy8laz9TvHQJUE2jblqx09viXaMyuzeZRip3b9qHd43K2Opts9W9HRLG5fNXMWRsa486fvAE9++a1tWrQddRFAUbO5v8DT4P1K1VeBKQZxWXkMjFK9dp16oZAO1aNePilevEJySZ1bt8LZimDU37Bns7G7wrebL7wOGnlmmttN4a1+oeBG4xHRsCtxzDtboHpR7bFuNDo4i8EIoxh/Xy/iPH9aIli2FR1EKrw3o29g52VKvpzfaNppG77Rt3U62mN3Y5bHs3g29z8fwVDIbsbXxnwNus+HINsdFxAKSmpPHgvrYXQ5TSNli4e5F+xrQfTT9zBAt3Lyhtfgwp6teBBwFbTAkZwL07mUkZ97P6TilWHCwskLusxL9V6EfKgOlABUVRzgB7gWigO1Ac2KSq6gRFUTyAXcARoBFwFlgJTAKcgF6qqp5QFGUiUAFwB8oCM1VV/Sq/G1DMzYEHkfFgNJo+MBp5EBVPcTc96XHJZnXt29Sj/LhelCjvTOjU77nzyAjRk8oKkp2rA4mR8aYpToBqNJIYlYCdq57U+Kz22Ls5EBcWk/k+PjwGO1c9AO7e5ajerBaze06i/dCuOf4eKwcbqvrWYPXoJfnYmicr7WZPWmQCqtG0s1WNKneiEintpud+fEqO36nQzY+U0GjuRGSfnuH9bmtu7z+jWUIN4ODmQHxUHMaM/jMajSREx+Pg5khyvPn66ODuSPTt6Mz3MeExOLg5ZFvmy2++QmRoBHGRpgPv9cBrNOvcgl9WbKVCjQq4e5XB0d0pT+LXu5rif3T9M8XvQMoj8Tu4ORJ7O2v9iwuLRe/q8K/KHtWs68tE3YwkPqPNAK16vUq7vh3QuzmwdNRCUhNzXkf+KTtXfca2l7U+JkUlYOfqQOoj66O9mwPxYbGZ7+PDY7F7pA31OjShql9NkmMS+WXeBoJPXc0s8+vVmlf6tsPOVc93Hy8hLTE1T9vwLJzdnYiOjDVbV2Oi4nB2cyIxLvEfLbN9t9e4HRpOdETM0yuLfywyOhYnBz0WFhYAWFhY4Ki3JzI6BvtHEuJqVSqwa38APt6VCIuI4sz5S7i5OD+1TGvWrvYkR5kfG1KiE7Fx03Pnb44NOanSqi4tR/fAvpwT+2auJ/py4Rglc3VzJioixmzbi46MwdXNmYRn2PYqVPbkdmgY321ZRqnSpdi7/QBL567Ir7BzRbHVY0yOAzXjnEw1oibHo7NxwJiWdQzROZVBjY+i5AefQ/GSpJ8/zsNff8ost6han2Jte6Gzd+HBrjUYI7Wb0SNeDM9DUjYG8FFVtbaiKG2AN4EGgAJsVRSlGXATqAh0A/oDJ4G3AV+gIzAW6JyxvJqYErfSwGlFUbarqmo2VKMoSv+M5bBs2TKq52/7zMTv+YP4PX9QzN2Bqis/JmH/Ke5eD39q2fNEV8SC/5s+gG9Hfpl5Yp2Txl2bc+HQGbNEr7BzbuRNnVFd2dNzRrYyz46N8OrShJ1vfJ7DN59f1Rv60GtEbyb0+m/mZ/NHzOW98e/Tslsrbl29SdAfQRjS0zWMMm9VbVidHiPeZnJv8+ku+9buZt/a3ZStUp4P5/sTeORcnidm/9bhtXvYuWgjxnQD3r41GLj8Yya18s9Mvg6v3cvhtXtxq1KWPvOGculIoKaJWV6q27g2A0f3Y3APf61DERlGDe7HjIVf0bXPh7g6O9Kwbk2KFrF4atmL4vK+U1zedwobNz1vfeXP1QNnibuR/d6m51URCwuqVKtE325DKFa0KF+tX0BEWCRbNjwH91/pLNC5enD360lgUYSS741HTYwl/dRBAAwXT3L34kkUWwdK/GcM6ZdOocY+f+dk/9Tfn72Jf+p5mL74qDYZP6eBU4A3UCmjLFhV1UBVVY3ABWC/qqoqEAh4PLKMLaqq3lVVNRY4gCnBM6Oq6nJVVeupqlqvf//+/zroB+GxFHOxh7+mMul0FHO253543N9/JyyW1NPXsGudfcrXk8oKQkJELLYu9plTsxSdDltnOxIizNsTHx6L3j1r6o29myMJEXHYONnhWM6ZIas+YcqRxbTs2x6/t1rRe+oHZt9v0u1ljm4wfzBIQUsLj6e0i13mFC5Fp1DK2Za0HPrO8aWKNFs4kF/7ziP5uvlBtdxr9agzuht7357BvdiCTzJbdmvF3J0LmLtzAeWqlMfeWY8uo/90Oh12TvbEhmcfOYgNi8GpTNYIl6ObI7HhWSMwVep6M3z+CKa+P4WwG2GZn0fdjGJqv8n4tx3KnKGzsHey4/a1vLkCHBcRi72z3mz9M8Ufa1YvNjwGhzJZ65/e3YG4iNh/VQZQqW4VhszzZ1b/aUTcyPkAfOtyKAlR8VRr7PMvW2suISIuY9vLWh9tnO1IiDBve3x4LPbuWSNj9m4OmXWSY5Iyp1JdOhJIQkQcblXKZvtd4ZdvkRSdQOVGBXlZCjr0aMfavStYu3cFFap44eTiYLauOjrriQqPfspSsqvxUnU+W/gpI/qMJfR64RiNeJG5ODkQHRuXOaXNYDAQExePi5P5dEx7OxtmjB/JxlWLWDxjAnfu3sWzfNmnlmktOSIea2fzY4OVky1JTziuP0lSeBxhZ25QuWWdvAzzmbzxVgc2/bqWTb+upVLVCji7Oppte04ujkSERz1lKebCb0ew+5f9PHzwkLS0O+zfdYiadQp2n/I4NTEOnbUelIxzMkWHYm2PMSn2sXoxpAf+BoZ0eHCP9KAT6MpWzGF5sRhvXaVI1XoFEb54gT1vSZkCTFNVtXbGT0VVVb/JKHv0CQLGR94bMR8RfHzeWL7PI3sYm0zahRAcuzQFwLFLU9LOB2ebuliyolvm6yL2Vtg0rc6dizefWlbQUuKSuRUUQoOOpvY06NiUWxeCs41o/bnjN3x7tkRRFCztrandpj6ndh4nITyWEXXfY5zvYMb5Dmb/iu0cXrePNWOXZX7Xq25lSlqV4vzBvHti3z9xLy6Z+As38exsuqfIs3MT4i6EZpu6qK/lRfMlQzjQfwHx50PMysq0qk39CW+zt9dMUm+b7/QLyv4f9+Hfdij+bYdy4KdfCQ4Kxq+T6V4Pv07NCL5wI9vURYCj24/QpuerKIqCtb01DV9txLGdpnsJK9asxKjFHzNjwDRunL9u9j0bfdb0pFfebMnD+w85e+RsnrQlOS6JkKBgmnbyA6BpJz9Cgm6YTV0EOL79GC3famO6183emvptGvL7jt/+VVmFmhUZtmgkcwfOIPj8DbPf516xTOZrx7JOeFT3Iuxq3p78p8QlczsohPodTff11e/om7Htma+Pp8y2PStqtanP6Z2/A2DjbJdZr0y18tiXcSQqI7l0qZD1ZDx9GUfKVvMg4mr2Jx3mp23rd9CrdV96te7L9h93ceXCNV7t0gqAV7u04vL5q888dbFaLW+mLZvE6PfHcznwSn6ELR6jt7OlSkVPduwz3bu6Y18A3pW8zKYuAiQmJZOecZHg9z/PcuVGKO1bN39qmdbS4pKJDAqlRifTsaFGpyZEBIU+09RFhwquma9L2Vni0bgq0Ro+5GPjum10eaUXXV7pxeb127l0/grt33gVgPZvvMrFwMvPNHUR4JeNu2nawnQ/a5EiFjT2q8+lC1ef8q38paYlYQwPpkht0360SG1fDOE3IM38GJJ+5jAWlWqZ3ugssKhYA2NECACK4yNPES1lhUUFn/+ph3yI/PE8TF9MAf66c3Y38LmiKGtVVU1VFMUdeNbH+HRSFGUapumLLTBNj8x31z9eRqUFH1J2eDfSk9K4+uFCAKquHcutmetJPXsdl/9rg22LWhgfpqMoChErd5F4yHQi+6QyLawdt5w+s4fQfuib3ElOY+XwRQAMWfkJ2+asJzTwBsc3BuBZuxKfH1wAwPYFPxF7K3dXuJt0e5njGwOeOL2xoPw2ZgW+8z6gln9nHiSmcXiYKXlstXokp2f9TNy5YBpPfZciJYrRZEbfzO8FDF1C4qXb+M7pj+FBOi8vH5pZtrvHNO4naDclbMnYxQyb40+Pj3qSlpTKPP85mWX/XTWRH+as4dq5axzceIDKdaqwJGA5AOvn/0DUTdOV0gFTBlKsRHEGThuS+d15w2YTejmUBq0b8sbAN1FVlcjQCKb1n5Kn8X89bgmDZn9E16HdSUtKY/HweQCMWfVfNsz+nhuB1wnYeJCKtSsx75DpnsSf528g+pYp9n9a9t7kDyhWohjvT8169tAi/3ncuhxKN/+elKlcFsNDA0ajkVUTvyLsWt4nNN+P+4p3Zg+m3dCu3ElO49uMbW/wyjFsm7OBm4E3+D1j25t00PRo6h2PbHudP36bcj6eGI1G0h+ks8p/EckxpocvvO7fHdfKZTCkG1ANRjZMWknk9bCcAykgU0fPYtL8cfTzf5eUpBQmDJ2cWTZ/zUyWfvENF89eplaDGkxdMpHSVqVRFIU2nVry+YgZHD94gtHTh1O8RHHGzsx6iuH4Dydz/dKNnH5loTF17hL2HzpKbHwC/T4ai621FVvWLnv6FwuJ8SMHM27KXJau+gFrK0umfjocgIGjJjD4vd74eFci8OIVps1fhoXOAlsbaxZPH0/JEiUAnlhWGPwybgWdZw+g+dAu3E1KY9PwpQD0WjWKA7N/IjwwmHL1KvPmog8pblkSFPDp0JgtHy/nekAgL73dkgrNamB8aAAFTqzey/XDgRq3KsuEUdOYvnAig0e8R1JiCmOGTMwsW/b9PBbOWMb5sxep27AWc5ZNwTJj22vXuTWf+k/myIHjbN+0B5/aVdl+ZANGo8rRg7/x09ot2jUqw71NyyjR/UOKteyOejeVe+tN5ykl+ozjwZ51GMOuk372CLoyFSg1YgGqasRw5QzpJ/cDULRhGywq1wKDAVB4eGwnhqvanZNpQR5rkvcUtbA86ucJFEX5HtO9YDuB20C/jKJUoDdgAH5RVdUno/6qjPc/ZTwE5BdVVX0yHvThhulhH+XI3YM+1KMub+ZpewqLppGmG1Y/8OimcST5Y1nIj6xy7611GPnm3bA1dCr3utZh5JstN3+hR/nOT6/4nFofupmBHt21DiNfLAnZAEA9Vz+NI8kff0Qc5mFs4U7o/o2iDl48jNZ2NCM/FXWqxMTyvbQOI99MDF2Lt1N9rcPIF5eiTf9CJ3X0GxpHkj8sZ2wE06ywQm+le+9CnUD0CVvzXPwdH/U8jJShqurbj300P4dqmTdvqKr67iOvQx4tA66oqvrvbxQTQgghhBBCiDzwXCRlQgghhBBCiMJB/nl03vufSspUVZ2odQxCCCGEEEII8ajn7emLQgghhBBCCPFC+Z8aKRNCCCGEEEL8O9o/G/vFIyNlQgghhBBCCKEhScqEEEIIIYQQQkOSlAkhhBBCCCGEhuSeMiGEEEIIIUSuyT1leU9GyoQQQgghhBBCQ5KUCSGEEEIIIYSGZPqiEEIIIYQQItdUResIXjwyUiaEEEIIIYQQGpKkTAghhBBCCCE0JNMXhRBCCCGEELkmT1/MezJSJoQQQgghhBAakqRMCCGEEEIIITQk0xeFEEIIIYQQuSbTF/OejJQJIYQQQgghhIYkKRNCCCGEEEIIDcn0RSGEEEIIIUSuqVoH8AKSkTIhhBBCCCGE0JAkZUIIIYQQQgihIUVVZQDyKeQPJIQQQgghCoKidQC5sbBs70J9fvzhrTXPxd/xUXJPWS4cd3tD6xDyRaPwjQC879FN40jyx1chP7LavbfWYeSb/4StoUO517UOI99su/kL3cp30jqMfPNj6BYGenTXOox8sSRkAwD1XP00jiR//BFxmIfRV7UOI98UdarEw9gbWoeRb4o6eDGlfC+tw8g340LX4qmvpXUY+SI47iwAqaNfzPMyyxkbtQ4h14zPXcpT+Mn0RSGEEEIIIYTQkCRlQgghhBBCCKEhmb4ohBBCCCGEyDWj1gG8gGSkTAghhBBCCCE0JEmZEEIIIYQQQmhIpi8KIYQQQgghck2mL+Y9GSkTQgghhBBCCA1JUiaEEEIIIYQQGpLpi0IIIYQQQohcU7UO4AUkI2VCCCGEEEIIoSFJyoQQQgghhBBCQzJ9UQghhBBCCJFrRkXrCF48MlImhBBCCCGEEBqSpEwIIYQQQgghNCRJmRBCCCGEEEJoSO4pE0IIIYQQQuSaUesAXkAyUiaEEEIIIYQQGpKkTAghhBBCCCE0JNMXhRBCCCGEELmmah3AC0hGyoQQQgghhBBCQ5KUCSGEEEIIIYSGZPpiASnh5UqFeUMpYmdFekIK1z9awL3gCLM6jj1eweX910FVUXQ6or/fS+Q3O8yXU8GNGntmE/XtLm5+9m1BNsGMs6crfWYPwdLWktTEVFYMX0h0SKRZHUWno+fEPlRvXhtU2LlkE0fW/2q+HC83/rt9Jge/281PU78DoM+swVRtWoPUhBQA/tj+GzsWbyyYhuXAyssF33kfUNzOkvsJqRz5aCkpwVFmdWoM64xnx0YYDQbUdCOnp28g/FCgqWxoRzw6NEI1GkFROL9oKyFbf9eiKZncPN3wnzMcKzsrUhJSmOM/h4iQ8Gz1dDod/Sf1p26Ll1BVlZ+//Ik96/YA0LJbKzr164RqVNFZ6Njzw262rdz21LL84urpxpA5H2Fpa0VqYgoL/ecRGRKRrZ5Op6PPpPep3bwOqLBpyc/8um7vU8uGzBlGee/ymcspV9WDL96fxh/7TtB1aHeadvDDkG7AaDDw/cw1nA04nS/tdPJ05Z3Zgylta0laYiqrhi8iJtu2p9BjYl+qNa+FqsKeJZs5mrHttR/Wjea925AYnQDAjT8us278NwC8NrgLL73eJHNd3f3lJv785bd8aUdulfMqy8T5Y7GxsyEpIYkJQ6dwK/h2tnoNm9dn8Cf9qejtxfoVPzP/sy8zy97zf4c2nVpiSDdgMBhYPG05xw+eKMhm5CjkZhjjps4hMSkFWxsrpo4bTvmy7mZ1YuMSmDRrEbfDo0g3pNP//3rQ4dWXn1r2PPhi0VfsO3iUsIgoNn23hEpeHlqH9EzsPV3oMGcAJW0tuZuYylb/JSSEmB8bPP1q8PLH3XGsUpY/vt3D/infZ1+Olyv9dkzhz+/25ViuFc8K5Zm1+HPs7GxJSEhkxKBPCblxM1s9vxaNGfnfD6lStRKrv/qBqRPmZJbpHeyZuXASbu4uFC1WlGOHTzBpzAwMBkNBNiUbxcGVEt2HopSyQr2Twr31C1Djsh8vitRsQtFXuoGigKpy7+uJqKlJFKn3CkV9TedrKDrST+zl4bEdOfymF5dRJjDmuUKflCmKMlZV1alax/FveU4fQNSqncRuDMDhjWZ4zhjAxe4TzOrEb/+NmIwTJ13pEtQ6MJ/kYxe4czHUVEGnw2vGABJ2aXtCD9B7Sn8OrN7F75sP07CzH/839QNmvz3JrE6jzr44ebjwaYuhlLazYvz2mVw8Gkjc7RjAlLT939T+nNlzMtvydy7ZzIHVuwqkLU/TaHofLq3aR/DGo3i+0ZRGM/qyt/s0szpxp68TtHQHhnsPsKtWjld/GsePdYdguPeQSyv3ErhgKwAlnW3pdOgLwg8F8iDpjhbNAWDQ1MFsX/0LBzcdpEWXFgyeNphPe47LVq95lxa4erjxQbP+WNlZMX/nAs4cOUP07WiO7TzK/h/3AVCydEkW7V1M4G+BhFwKeWJZfuk/dSC7Vu/g8KZD+HVpzgfTBjGp53+z1fPt3ByX8q4MbT4QKzsrZu6YS+CRs8Tcjn5i2aLh8zKXUb6qBxN++JwzAacAuHbmKtuWb+bBvQeUr+rBpPVT6F+/Dw/uP8jzdr495X0Ord7Nic2HadDZj15T+zPv7c/M6jTo7IejhzMTWnxEaTtLxmZse/EZ297xjQFszLgI8qiDq3exa/EmAGyc7Jiwfy4XA85xJzktz9uRW5/MGMGPqzax8+c9tO3ahrEzRzKw27Bs9cJCw5kyciavtG9OseLFzMounL7ImqXruH/3PpWqVWD5xoW8Vrsz9+/lff88i89mL+atLq/T4dWX2bb7AJNmLWbFfPPD3cxFX1O9SkUWTvsv8QlJdO83jHq1fXB1dnxi2fOgpV9jenfrzDuDRmodyj/Sdmpf/ly9l/ObjuLTpSntpr3H2p7m/Zd4M5rtY77Gu20DihQvmm0Zik6h3dS+XN7zZ0GFnWuTZ3/Kd9+sZ/OP2+ncrT1T5vyXXp3fz1bvZuhtPhn2GW07tKR48eJmZYP83+P6lWDe6/khRYoU4ccdq3jt9ZZs37KnoJqRo+JdBvDwt52knw6gSJ1mFH9jAPe+Mj8n07lXoFirHtxdPgE1NRFKlIL0hwCkB/5G+h8ZF5mLlaDU8PkYblzAGBla0E0RL5DnYfriWK0D+LeK6G0oXcOL2M1HAIjdfITSNbwoYm9tVs+QejfztUXJ4ihFLFDVrCsRbkO6kLDvT+7dyH41pyBZ6a0p5+PJia1HATix9SjlfDyxfKw99V5vSsAP+1FVldT4ZE7vOclL7Rpnlrcd2Jlz+/8kKjj7CE1hUUJvjd7Hg5DNxwAI2XwMvY8Hxe2tzOqFHwrEkHGClxB0ExSF4namOg9Tsvq1SOkSmSOhWrHR21DBpwIBWwIACNgSQAWfClg/1n8Afq/7sfuH3aiqSnJ8Msd3H6dpe18A7j6yvhYvWRyLolnr65PK8oO13gbP6l4c3XIYgKNbDuNZ3SvHNjXt4Mv+dXsy23Ryz+80bt/0qWWPeqVHaw5vDiD9QToAZwNO8yCj/0MvhqAoCpZ2Vtm+929Z6a0p6+PJya2mfcnJrUco6+OJ5WPr40uvN+FI5raXwtk9J3mpXaOnLv/eI+tq8dIlQDWdNGrFTm+Ld43K7N5kSvB3b9qHd43K2Opts9W9HRLG5fNXMaRnvwJ//OAJ7t+9D8DVoOsoioKNnU3+Bv8UcQmJXLxynXatmgHQrlUzLl65TnxCklm9y9eCadrwJQDs7WzwruTJ7gOHn1r2PKhb6/lJIB9XSm+NS3UPLmwxHRsubDmGS3UPSj22LSaERhF1IRRjDuslQJNBHbn662niNT6uP07vYI9PTW+2/rwTgK0/78Snpjf2ertsdUODbxEUeIn0HNqoqiqlLUujKArFihelaNGiREZE53v8T6KUtsHC3Yv0M6b9aPqZI1i4e0Fp8+NFUb8OPAjYYkrIAO7dyUzKuJ+1r1SKFQcLC+TRF+LfKlRJmaIomxVF+VNRlAuKovRXFGU6UFJRlDOKoqzNqNNbUZQTGZ8tUxTFIuPzVEVRZmR8f5+iKA0URTmoKMoNRVE6ZtR5V1GULYqi7FIU5bKiKBOeEE6eKe6m50FkHBgz/tWe0ciDqHiKuTtkq2vXpj41D8yjzollhC/ZzN1LpqkCpaqWx7ZFbSKW5+8UsNywc3UgMTLeNMUJUI1GEqMSsHfVm9Wzd3MgPiwm8318eExmHXfvclRvVou932zP8Xe07vc6E3bNZtDyUbhUcM+xTkEo5WbPncgEVKNpZ6saVe5EJVLaTf+33/Hq5kdKaDR3IuIzP6v8f6/Q6dBMXt89meOjv+F+Qmq+x/53HNwciI+Kw5jRf0ajkfjoeBzdsp8cObo7EnM76wAaEx6Do1vWetugdQMW71vMN8dWsGnpRkIvh+aqLM/b5OpAfFS8WZsSohPQu2XfxhzcHMzbFBaD3tXhqWV/KVK0CL6dmnFgw74cY2ne9WUib0YSHxn3r9v1ODtXfca2l7U+JkUlYPdYjKZtLzbzfXx4rFmdeh2aMG7nF3y4ehyedSuZfdevV2sm7J/L2O0zWDt2GWmJ2q2rzu5OREfGmvVrTFQczm5O/3iZ7bu9xu3QcKIjYp5eOR9FRsfi5KDHwsICAAsLCxz19kRGm8dVrUoFdu0PQFVVbodHcub8JcIjY55aJvKXtas9KVHmx4aU6ESsn3BseJyTd1m8mtXkxNc78yvMf8zV3ZnIiBizbS8qMgZXd+dnWs7CWcvxrFCeE0H7ORH0KwEHjvHniTP5EXKuKbZ6jMlxoGack6lG1OR4dDbm+1GdUxl09s6U/OBzSg6dRdFX3jQrt6han5LD51FqzDIeHtqMMTL71M4XmbGQ/zyPCtv0xb6qqsYrilISOAk0B4aoqlobQFGUqkAPoKmqqg8VRfkS6AWsBkoDB1VVHa0oyiZgMtAaqAZ8C2zN+B0NAB/gDnBSUZTtqqr+UXBNfLKEPSdJ2HOSYu4OVFkxhsRfT3E/NAqvLwZy3X9RVmL3HLMoYsF/pg9g1cgvMxO7R2364geSohNQVZXGbzRj2Lfj+KTZkBzrFjbOjbypM6ore3vOMPv8yne/cuW7X7H1LoPfwkFEHL6gaWKWV07sPcGJvSdwdHNk3Ffj+OPAH4TdCHtq2fOsfpuGxIbHEBIUnK2sWsPqvDWiF5/3LpDrPf/I4bV72LloI8Z0A96+NRi4/GMmtfLPTL4Or93L4bV7catSlj7zhnLpSKCmiVleqtu4NgNH92NwD3+tQ8m1UYP7MWPhV3Tt8yGuzo40rFuTokUsnlomCjddEQvaTe/HL6OWZyZ2L6J2ndpwKegKvbq8j6VlaVZuWEzbDq3YuS3ni1qFis4CnasHd7+eBBZFKPneeNTEWNJPHQTAcPEkdy+eRLF1oMR/xpB+6RRqbOGd+SMKv8KWlA1VFKVLxuuyQKXHylsCL2FKpgBKAn9d1n4A/HUTUiBwPyNxCwQ8HlnGXlVV4wAURdkI+AJmSZmiKP2B/gDLli2j5r9s1P3wOIq56EGnMyVVOh3FnO158MiV7Mc9CIsl9fRV7FrVI+6XYxT3cMF7zacAWFiXBgUsLEsS/PHSfxnds0uIiMXWxR5Fp0M1GlF0Omyd7YgP7hV+AAAgAElEQVSPMB8ZiA+Pxd7dkZBz1wGwd3MkLiwGGyc7HMs5M3TVJwCUsi4NKJS0LMV3Y5eRGJU1wvTbxgC6//dd7Fztza78F5Q74fGUcrFD0SmoRhVFp1DK2Za08OyjIA4vVcR34UAO9JlL8vWcp6IkXrrNnahEnBtX5eaO7PfS5ZeW3VrRsW9HALZ8sxl7Zz06nQ6j0YhOp8PeyZ6Y8OxX2GPCYnAs48TVc1cBcHRzJDos+9STmPAYrpy9Sv2WDQi7sSnXZf9Gi24tad/ndQB++WYr9s72Zm2yc7IjLjz7OhMbHotjGSeun7tmapO7IzEZI7pPKvvLK91b5ThKVrluFT6cN5yZ708hPJ+Sz4SIuIxtL2t9tHG2IyHCvJ2mbc+B0MxtL2vUOjkma3rcpSOBJETE4ValLFd/v2i2jPDLt0iKTqByo+qcLsD7WDv0aMdb/UxXpL9fvgEnFwezfnV01hMV/uzTn2q8VJ3PFn7KiD5jCb1+K6/DfmYuTg5Ex8ZhMBiwsLDAYDAQExePi5P5iLW9nQ0zxmfdczVw1AQ8y5d9apnIX8kR8Vg5mx8brJxsSc7h2JATSydb7Mo702PlKABKWJcyTXu3LMmOT77Jz9D/1ptvd6JP/7cB+GbpGlxcHc22PWcXRyLCop6yFHPvvN+T0UMnoKoqKSmp7N15kMZ+9TVNytTEOHTWelB0ptEyRYdibY8xKfaxejGkB/4GhnQwpJMedAJd2YqQkZRl1YvFeOsqRarW4+HhrQjxTxWa6YuKorQAWgGNVVWtBZwGSjxeDfhWVdXaGT9VVFWdmFH2UM26acUI3AdQVdWIefL5+CWpbJeoVFVdrqpqPVVV6/Xv3//fNAuA9Lgk7lwIxqGz6V4ch86+pJ2/QXp8slm9EhWzpukVsbfCuqkPdy6F8iAslj993uV0wwGcbjiAyK9/Ifr7fZokZAApccncCgqhQUfTvTYNOjbl5oVgUh9rz587fqNZz5am+2vsranTpj6ndh4nPjyW4XXf4xPfwXziO5h9K7ZzeN0+vhu7DABbZ/vMZVRvVgujwUhiZDxauBeXTPyFm3h0bgKAR+cmxF8I5X58ilk9fS0vmi8ZwqH+C4g/H2JWZlPRLfO1ZVlH7H3Kk3SlYEeM9v+4j4/aDuWjtkP59adfCQ4Kplkn070szTo148aFGyQ/1n8AR7cf4dWer6IoCtb21jR6tRHHdpruJSxToUxmPWs7a2o0rkFoxoM8nlSWVw7+uJ9R7fwZ1c6fQz8fICQomKad/ABo2smP4KDgHNv02/ajtHyrTWab6rdpyPEdx55aBmDvose7QTWObA4wW2aFmhXxXzSK2QNnEHz+Rp6281EpccncDgqhfkfTvqR+R19uXQgm9bH18dSO3/DN3PasqNWmPqd3mhIrG+ese0LKVCuPfRlHom6Yru4+OlVYX8aRstU8iLia/UmH+Wnb+h30at2XXq37sv3HXVy5cI1Xu7QC4NUurbh8/iqJcYnPtMxqtbyZtmwSo98fz+XAK/kR9jPT29lSpaInO/aZ1qUd+wLwruSF/WP3uiUmJWfeq/P7n2e5ciOU9q2bP7VM5K87cclEBYVSvZPp2FC9UxMig0K589i2+HeSw+OYW2cAi32Hsdh3GCdW7OLMugOaJWQAP32/hfYtetC+RQ82rttGUOBlOnZtC0DHrm25cO4y8XEJz7TM26FhNHvFdK5QtGgRfJs35PLFa3ke+7NQ05IwhgdTpLZpP1qkti+G8BuQZn68SD9zGItKtUxvdBZYVKyBMSIEAMXxkdsqSllhUcHnf+4hH2oh/3keFaaRMhsgQVXVO4qieAN/3ZX+UFGUoqqqPgT2A1sURZmrqmq0oij2gJWqqs+yJbTO+N5doDPQNy8b8XdujFlGxXkf4u7fHUNSKtc+WgBAle/GcfuLdaSdu45z7zbYNK+Fmm4AFCJX7iTp0NmCCO+ZrRm3nD6zh9Bh6JukJaexYvgiAIau/IQtc9YTGniD3zYG4Fm7EpMPmtq6bcFPxN56+hXuPrMHY+1gi6oauZdyl8Xvz8Bo0G7q4vExK2g67wNq+XfmfmIaR4eZksdXVo/k7KyfiTsXTMOp72JRohiNZmStTkeGLiHx0m1qjeyKbWV3jOkGVIORk+NXk3RN2ykOX45dzLA5/rz1UU9Sk1KZ65/1COMJqyayds4arp27xoGNB6hcpwrLApYDsG7+D0TdNF0pfa3Xa9RpVof0hwYURWH7t79w+vDpp5bll+XjljBk9jDeHNqDtKQ0s6clfrLqv6yf/QM3Aq8RsPEglWpXZsGhJQD8NH890bdMbXpSGUCLN1/hz30nSU0yn87Xb/IAipUoxgdTB2Z+ttB/Hjfz4T6678d9xTuzB9NuaFfuJKfxbca2N3jlGLbN2cDNwBv8nrHtTTo4H4Adj2x7nT9+m3I+nhiNRtIfpLPKf1Hm6Nnr/t1xrVwGQ8a6umHSSiKvazvldOroWUyaP45+/u+SkpTChKGTM8vmr5nJ0i++4eLZy9RqUIOpSyZS2sr0UIE2nVry+YgZHD94gtHTh1O8RHHGzswaVRr/4WSuX8q/BDo3xo8czLgpc1m66gesrSyZ+ulwwDTiNfi93vh4VyLw4hWmzV+Ghc4CWxtrFk8fT8kSpuuVTyp7Hkydu4T9h44SG59Av4/GYmttxZa1y7QOK9d2jltBh9kD8B3ahXtJaWwdbrpQ2mPVKAJm/0REYDBl6lWmy6IPKW5ZEhSo1qEx2z9ezo2AQI2jf7pxIycze/Fkho78gKSkZEYMynpC74p1i5g7/UsCzwRRr2EdFnw9A8uMbe/1N15jzNCJBBw4xmfjZjJl9qfsPPwTFhY6jh85ybrV2v2Lm7/c27SMEt0/pFjL7qh3U7m33nSeUqLPOB7sWYcx7DrpZ4+gK1OBUiMWoKpGDFfOkH5yPwBFG7bBonItMJjO1x4e24nhauE8XxPPDyU/n4j2LBRFKQ5sBtyBy4AjMBFoC3QETqmq2ktRlB7AJ5hG+R4Cg1VVPa4oSqqqqpYZy5oIpKqqOivjfaqqqpaKorwLtMN0/1lF4HtVVc2f456detztjTxta2HRKNy0Y3zfo5vGkeSPr0J+ZLV7b63DyDf/CVtDh3Kvax1Gvtl28xe6le+kdRj55sfQLQz06K51GPliScgGAOq5+mkcSf74I+IwD6Ovah1GvinqVImHsdomrPmpqIMXU8r30jqMfDMudC2e+lpah5EvguNMiU/q6BfzvMxyxkYwzQor9D4r36twJBB/Y3zo2ufi7/ioQjNSpqrqfUwJ2OMOAqMfqbceWJ/D9y0feT3x78qAaFVVh/zLcIUQQgghhPifVPgfvfb8KTT3lAkhhBBCCCHE/6JCM1JWEFRVXQWs0jgMIYQQQgghhMgkI2VCCCGEEEIIoaH/qZEyIYQQQgghxL9jfO4eo1H4yUiZEEIIIYQQQmhIkjIhhBBCCCGE0JBMXxRCCCGEEELkmpFC/W/KnksyUiaEEEIIIYQQGpKkTAghhBBCCCE0JNMXhRBCCCGEELkmkxfznoyUCSGEEEIIIYSGJCkTQgghhBBCCA3J9EUhhBBCCCFErhm1DuAFJCNlQgghhBBCCKEhScqEEEIIIYQQQkMyfVEIIYQQQgiRa/LPo/OejJQJIYQQQgghhIYkKRNCCCGEEEIIDUlSJoQQQgghhBAaknvKhBBCCCGEELkmd5TlPRkpE0IIIYQQQggNSVImhBBCCCGEEBpSVFUGIJ9C/kBCCCGEEKIgKFoHkBsjPXoW6vPjWSE/PBd/x0fJSJkQQgghhBBCaEge9JELy8r01jqEfPHB7TUA1HP10ziS/PFHxGFWub+YfQfwbtga3ijfUesw8s3G0K28Wrat1mHkm923dtLHo6vWYeSLlSE/A5A6spPGkeQPy1lbmFi+l9Zh5JuJoWuZ8gK3b1zoWh7G3tA6jHxT1MELG8sKWoeRL5JSrwNQ362ZxpHkj5PhAVqHIDQkSZkQQgghhBAi14xyd0+ek+mLQgghhBBCCKEhScqEEEIIIYQQQkMyfVEIIYQQQgiRazJ5Me/JSJkQQgghhBBCaEiSMiGEEEIIIYTQkExfFEIIIYQQQuSaUesAXkAyUiaEEEIIIYQQGpKkTAghhBBCCCE0JNMXhRBCCCGEELmmyvMX85yMlAkhhBBCCCGEhiQpE0IIIYQQQggNSVImhBBCCCGEEBqSe8qEEEIIIYQQuSaPxM97MlImhBBCCCGEEBqSpEwIIYQQQgghNCTTF4UQQgghhBC5ZpRH4uc5GSkTQgghhBBCCA1JUiaEEEIIIYQQGpLpi0IIIYQQQohck8mLeU9GyoQQQgghhBBCQzJSpgEbTxdenvcBxe0suZ+Qyq/DlpIcHGVWp+5HnanQsRGqwYAx3ciJGRu4fShQo4ifrpxXWSbOH4uNnQ1JCUlMGDqFW8G3s9Vr2Lw+gz/pT0VvL9av+Jn5n32ZWfae/zu06dQSQ7oBg8HA4mnLOX7wREE2I0fWXi74PtJfhz9aSspj/VVzWGc8H+mvU9M3EJ7RXw2nvIObb3UMDx7yMO0+J8Z/R9y5YC2aksnV042hc4ZhZWtFSmIKC/znEhESka2eTqfjvUnvU6d5XVQVNi35iX3r9gJQy682vT7+P8pX8WDHt7/w7ZSVmd8bOmcY5b09Mt+Xr+rBjPencnKfNv3p7unOyLkjsLazIjkhhS+GzSI8JDxbPZ1Ox8DPBlCvRT1QVdYv3sCudbsB6O3fiw7/eZ24qDgALvwRxOJPv8y2jPzm7OlKv9kfYmlrRWpiCl8PX0jUY32n6HT0mtiXGs3roKoqO5ZsImD9fgA6fPgmDTv4YjAYMKYb+PmL7zkfcAYAFy83/jO5P5Z21gCsm7KKoCPnCrR9j1Mc3Cjx1kcopa1Q01K4t24eamz2dbVIraYUbdUdFAVUlXvLxqOmJlG0VXeK1PYDowGMBh7sWIPhymkNWpKd3tOFznMGUMrWkjuJqWzyX0J8iPm+pYJfDVp+3B2nKmU58e0e9kz5PrOsdrdmNH6vLapRRbHQceqHA/y+andBN+Nv2Xu60GHOAEraWnI3MZWt/ktIeKx9nn41ePnj7jhWKcsf3+5h/yPty1yOlyv9dkzhz+/25VheWH2x6Cv2HTxKWEQUm75bQiUvD61DemYVKnqwdNkX2NvbER+fwAf9R3Hjeki2eqNGD6Hrm+1JTzdgSDfw2cRZ7N9/GIAvl86kxctNiItLAGDLpp3M+qLg952PK+dVhgnzss5bJn409W/PWwaNeZ+K3l5sWLnR7LzlSWVCPKvnLilTFMUD+EVVVR+NQ/nH/Kb34cK3+7i68SiV3mhKs+l9+aXHNLM60Weuc27ZDtLvPcC+ajk6/jSO714aguHeQ42ifrJPZozgx1Wb2PnzHtp2bcPYmSMZ2G1YtnphoeFMGTmTV9o3p1jxYmZlF05fZM3Sddy/e59K1SqwfONCXqvdmfv3HhRUM3LUeHofLq3ax42NR/F6oylNZvRld3fz/oo9fZ0LS3dguPcAu2rlaPvTONbXNfVX2IGznJiwBjXdQJlWtWm+ZAgbm47QqDUmA6YOYufqHQRsOkizLi0YMG0wE3p+mq1es87NcSnvyuDmA7Cys2L2jnmcPXKWmNvRRN2MYsmYxTRq2zhbXy4YPi/ztUdVDyb9MJnTAafyvV1/Z+i0IWz7dhu/bjrAK11e5qPpHzL6rU+y1Xuly8u4ebjR1+89rO2sWbxrEaePnCbqdjQA+37ez1eTvy7o8M28M+UDfl29i982B9C4czPemfoBM9+eaFancWc/nD1cGdNiCJZ2VkzcPosLR88RdzuG4LPX2P3VVh7ce0DZquUZs/5zhtXvx8P7D3jvi8H8umYPv206hLOHKx//MIlPXh7CAw23weJvDuThsR2knzpEkbrNKf7mIO4t/a9ZHV2ZihRr05O7Sz9FTUmEEqUg3bSvNN68yt1Dm+HhA3SuHpQcNIW0SX0gXdv9CsDrU/tycvVezm06Ss0uTekw7T2+7TnVrE7CzWi2jvmaam0bUKR4UbOyiztPcubHAACKlS7BoD0zCDkeRNSlWwXWhidpO7Uvf67ey/lNR/Hp0pR2095j7WPtS7wZzfYxX+OdQ/sAFJ1Cu6l9ubznz4IKO8+09GtM726deWfQSK1D+cfmzZ/MV8vXsGH9Frr36MT8BZPp0L53tnqn/jjLogVfc/fuPXx8vNm+6weqVGzEvXv3AZg7ZxlfLfuuoMN/ojHTR/LTqk3s3LiXtm+05pMZIxnU/W/OW0Z9wSvtmlO8RLFcl73o5OmLeU+mLxawEnprHHw8uLb5GADXNh/DwceDEvZWZvVuHwokPeNEKP7iTVAUSthZZVteYWCnt8W7RmV2b9oHwO5N+/CuURlbvW22urdDwrh8/iqGdEO2suMHT3D/rmkHfjXoOoqiYGNnk7/BP0UJvTV6Hw+CM/orePMx9D4eFH+sv8IPBWLI6K+EIFN/Fc/or9v7zqBmtDfmz2uUdrU3Xc3XiI3eBq/qXhzZYjqZO7IlAK/qXljbW2er27SDL/vW7UFVVZLjk/l9z+80ad8UgMjQCIIv3MCYbnzi72vZozUBmw+R/iA97xuTCzZ6Gyr6VOTglkMAHNxyiIo+FbGxz75uNevQjJ3f70JVVZLik/ht9zH82vsVdMh/y0pvTXkfL45vPQLA8a1HKO/jhdVjfdfg9aYc+mEvqqqSEp/M6T0nqN+uCQDnA85kJlm3LoYCYGlnCUDZqh6cP2QaRYoKiSAtMZUaLeoWSNtyoljaYOHuRfpp0xX39NOHsXD3gtLm7S3arCMPDm4yJWQA9+5kJmWGK6fhoam9xogQQEEprf2+tLTeGtfqHgRuMe1bArccw7W6B6Ue27fEh0YReSEUYw77zPupdzNfFy1ZDIuiFqiF5DyplN4al+oeXMho34Utx3DJoX0JoVFE/U37AJoM6sjVX08TfyP76GhhV7eWD67OjlqH8Y85OOqpWas6P/24DYCfftxGzVrV0TvYZ6u7f/9h7t69B8D585dQFAV7e7sCjfdZmM5bKrF7s2kGwe7N+/GuUQnbHI4Lt0PCuHL+KgZD9nX0SWVCPKvnNSmzUBTlK0VRLiiKskdRlJKKohxUFKUegKIoDoqihGS8fldRlM2KomxTFCVYUZQhiqIMVxTltKIoxxVFyb53yUeWbvakRSagGk1HTtWocicqEUs3/d9+p/KbfiSHRpMWEV9QYT4TZ3cnoiNjMRpNJ+dGo5GYqDic3Zz+8TLbd3uN26HhREfE5FWY/0jpv+mv0k/orwrd/EgJjeZODv3l/W5rbu8/g5ZnTnpXB+Ki4s36Kz46Hgc3h2x1HdwcickYJQKIDYvBwTV7vb9TpGgR/Do1Z/+Gff8+8H/I0c2RuMg4s/bGRcXjmEN7ndwdiQ7Lam90WAyOblknVc07NmfJni+ZunYKVet653/wj7F3dSAhMh41oy2q0UhCVDz2rubro97NgbiwrG0nLjwmWx2Apl1bEHMzioRI07oaEniDRp1MSWh5Hy9cvNzQu2t3UqnYOGBMigc1I/FXjajJCehszftO51wWnd6FkoOmUnLYHIq27Jbj8orUexljXCRqUlx+h/5U1q72JEeZ71tSohOxecK+JSdVWtVl0N4Z+B+dz9FlvxB9uXCMklm72pOSQ/usn6F9Tt5l8WpWkxNf78yvMMUTlHF3JSIi0mzfGRkZRRl31yd+r+fbbxASHEp4eGTmZ0OG9OXY7ztY+8NSKlepkK9x54azmxMxOZ23uDtrHJn4X/bcTV/MUAnoqarq+4qibAC6PqW+D1AHKAFcA0arqlpHUZS5wH+AeU/6spZcG3lTb1RXtvecoXUoBaZu49oMHN2PwT38tQ7lmTk38qbOqK7syaG/PDs2wqtLE3a+8bkGkWmjQZuGxIbHEBKk7T10eWH7mh38sHAdhnQDdf3qMPGbCfR7uT8piSlah/aPVGlYjS7D32LW/32W+dk3IxfRc/y7+HZ7mfCrt7n6x0UM6dqMcD4TnQ6dqwd3l42HIkUp2W8CamIs6X8eyKriVZ1ir/bi7vIJGgaa9y7vO8XlfaewcdPz1lf+XD1wlrjncFTpcboiFrSb3o9fRi3PTOxE4dfUtwHj/utP547/yfzs80mziYyMRlVV3urZhZ83raSWT4vMhEg8n6T38t7zmpQFq6p6JuP1n4DHU+ofUFU1BUhRFCUJ2JbxeSBQ8/HKiqL0B/oDLFu2LE8C/ktqeDylXexQdIrp5mydQilnW1LDs1+5da5bkVcWDGR337kkFbKDbIce7Xir35sAfL98A04uDuh0OoxGIzqdDkdnPVHh0U9ZSnY1XqrOZws/ZUSfsYRe1/6Kb9rf9FdaDv3l+FJFmi0cyP4+c0m+bt5f5V6rR53R3djTYxr3YpMLKvxMr3RrSfs+HQDY9s1W9M72Zv1l72RPbHhstu/FhsfgWMaJa+euAeDg7khMWO77tWX31pqMkrXp3prOfTsBsPHrzehd9Gbt1TvbE5NDe6PDYnByd+LK2SuAaeTsr/vJEmISMuudOnyamPAYPLw9CDxecA/giY+Ixc7FHkWnQzUaUXQ67JztiY8wXx/jwmPRuzsSfO46AHo3R2IfGTmrULcy/ed+xIL3pxN5I+uBJzG3oljwftYFhcl75xFxLSyfW/X31KRYdDb2oOhMo2WKDsXaDmOied+pCTGknzsGhnQwpJN+4Xd05SpBRlKmK1+FEm8P597KKagx2rXnUckR8Vg7m+9brJxsScph35IbSeFxhJ25QeWWdfitEBwvkiPiscqhfcm5bJ+lky125Z3psXIUACWsS5mmhVuWZMcn3+Rn6P/TevXuyoBB7wLw5aKVuLq6mO07XVycuR2W8/pVv0Edln89h7d7fMC1q1kX4iIish7usu6HTUybPg53dxdu3cr+sKX81KFH20fOW37EMafzlrCopyxFiPzzvE5fvP/IawOm5DKdrPaUeEJ94yPvjeSQmKqqulxV1Xqqqtbr379/3kSc4V5cMnFBN6nY2XR/R8XOTYi9EMq9ePOr7Y61vGi5ZAh7P1hA7PmQPI0hL2xbv4NerfvSq3Vftv+4iysXrvFql1YAvNqlFZfPXyUxLvGZllmtljfTlk1i9PvjuRx4JT/Cfmb34pKJv3ATz4z+8uzchLgLodx/rL/0tbxovmQIB/ovIP6x/irTqjb1J7zN3l4zSb2dPREoCL/+uJ8R7YYxot0wDv78K8FBwfh2agaAb6dm3Ai6QXJ89mTx2PajtHqrDYqiYG1vTcM2DTm+41iufqfeRU/VBtU4vPlQnrYlN/Zs2Mug14Yw6LUh7PtpH9eDbtCiU3MAWnRqzvUL10mKT8r2vcPbD9P27ddM9zPa29D41SYc2XkUMLXnL17VvHAu68zt69mf1JWfUuKSuRkUTKOOvgA06uhL6IVgUh7ru5M7fqN5z9YoioKVvTV12jTgz53HAfCsWYGBC4ezeNAsQi+Yj2Ba6bPu1Wr65sukP3hI0FHtnr6opiZhDA+mSB3TlMoidfwwhAVDmnl7008HYFG5tumNzgKLSrUwhpvapitbkRK9R3Fv9QyMYTcKNP4nSYtLJjIolBqdTPuWGp2aEBEUyp343I+8OlTImkZWys4Sj8ZViS4kD/m4E5dMVFAo1TPaV71TEyKfoX3J4XHMrTOAxb7DWOw7jBMrdnFm3QFJyPLZ2jU/49ekA35NOvDD9xsJDAzizW6mC3pvduvAuXNBxMVmn5pft24NVn67gP/0HszZsxfMylxds6YEtmzph8FoJDy84JOfbet30qv1e/Rq/V7WeUvnlgC82rml6bwlh+OCEAXleR0py0kI8BJwAnhT21Ce7PCYFbSY9wF1h3XmflIaBz4yjca1XT2Sk7N+JvZcML5T3qVIiWL4Te+b+b0DHy0h/lLBngTm1tTRs5g0fxz9/N8lJSmFCUMnZ5bNXzOTpV98w8Wzl6nVoAZTl0yktFVpFEWhTaeWfD5iBscPnmD09OEUL1GcsTOznlQ1/sPJXL+k7YnUb2NW4DvvA2r5d+ZBYhqHh5n6q9XqkZye9TNx54JpPNXUX01mZPVXwNAlJF66je+c/hgepPPy8qGZZbt7TON+QmqBt+Uvy8Z9yYezh9F9aA9Sk1LNnpY4btV41s3+nuuB1zi08SCValdh8aGlAGyYv56oW6aDqXe9qoxYNIqSlqVQFPDt4MfijxdyJsD0oIgWb77CH/tOkJqkXTv/svCThYycO4Jew94mNSmVL4bNyiz7/NvPWD37O66eu8r+n3/Fu443Kw6bTvzWzvueyJum+yL6fPwulWpWxGgw8vBhOjM/mmU2elZQvh23nH6zh9BxaDfSklP5evhCAPxXjmPTnHWEBF7n2MZDeNWuxPSDiwDYuuBHYjL67f8+70+xEsV4Z+oHmcv8yn8Bty/fpE6r+rQb0AVV/X/27js+iqKP4/hnEqrUFCAhCKH3piDSFRQrSJViAUEQUBAQEDuiKL2ISlMEBAHpICC9g1KkV+nSSQKhSEsyzx+3hIQECJjkQp7v2xcv73Zn9+Z3s7s3szM7sZw+cpIhb/VJ9PhudWXKUNI07kCqpxtiL1/iygTXsZqmxSdcmz+BiKP7CNu8Eo8c+Xioy7dYawnfs4mwda4e2tR1W2NSpiJ1vTaR+7w6YRARJw+7JZ6ofvtoFLX7t6Zq+zpcDr3E9E6u8+yV0V1Y2n8Kx7cdJGeZAtT/th2p06cFA8Vqlmdm1xHsX7GNR5tUJ2+V4kRcDwcD68YuZP/KpPOnU+Z9NIqa/VtTqX0droReYpYTX8PRXVjRfwonth0kR5kC1IkSX5Ga5ZnTdQQHViSdOO7XVwOHsnj5aoJCzvLmux+SOWMGZo6P39E3Ca3ju58wbHhf3u/WjnPnQnmr1c3f58lTf+SrL0dWFcEAACAASURBVAexadM2+g/sQdq0qRn0zc3f/rdavsfOHXsZNqIvWbL6EhERwYULF2n0cqskMTHG1936033Qh7Rw6i3d3+0ZuW7Qz30Y3vdHdm111Vt6fv9ZZL3l6VrV+PK93vyxfP0d14ncK2OTylRNcXTrlPjGmM5AemAi8CtwEVgCvGqtDTTGNAPKWGvfcdIfct4H3bruNuzwHDGnf00O3jo6DoAy/klndrn4tOHESkYHJM+yA2h2bBx1c9VydzYSzLTDs3jm4efcnY0EM/+febwReLfHYR9MPx2aCsDFzi+5OScJI32/mXTP9Yq7s5Fguh8eT89kHN9Hh8dzPSjp9JrGt5S+eciU3v2TaSSE0IuuIdlls1dxc04SxvrjKwDcNz3zPXgzsH6SbkD8cGjKA/E9RvXA9ZRZaw/hmrjjxvt+UVZHfT7sY2f9aGB0lPSBUV5HWyciIiIiIpLYHtRnykRERERERJKFB66nTERERERE3EdT4sc/9ZSJiIiIiIi4kRplIiIiIiIibqThiyIiIiIiEmeWJD354gNJPWUiIiIiIiJupEaZiIiIiIiIG2n4ooiIiIiIxJlmX4x/6ikTERERERFxIzXKRERERERE3EjDF0VEREREJM4irGZfjG/qKRMREREREXEjNcpERERERETcSI0yERERERERN9IzZSIiIiIiEmd6oiz+qadMRERERETEjdQoExERERERcSMNXxQRERERkTiL0ADGeKeeMhERERERETdSo0xERERERP6vGGOeNcbsMcbsM8Z0i2V9amPMJGf9n8aYwCjrPnCW7zHGPBMf+dHwRRERERERiTP7gA9fNMZ4At8BTwNHgfXGmFnW2p1RkrUAzlpr8xljGgG9gYbGmCJAI6AokB1YZIwpYK0N/y95Uk+ZiIiIiIj8P3kM2GetPWCtvQZMBF66Jc1LwBjn9RSgujHGOMsnWmuvWmsPAvuc/f0nxtoHu6WbCPQFiYiIiEhiMO7OQFw0zlU7SdePJxyeccfv0RhTH3jWWvum8/41oJy19p0oabY7aY467/cD5YDuwB/W2nHO8h+BedbaKf8lzxq+GAe+GQu4OwsJIuj8XgDq56rl5pwkjCmHZ+GfuYi7s5FgTpzbSZNcddydjQTzy+HpvJqrrruzkWDGHZ5GnZw13Z2NBDH9yGwAmgfWd3NOEsaoQ1MolLWsu7ORYHafXk9un5LuzkaCORi8hUzp87o7Gwkm9OJ+rgcdcHc2EkRK3zwAeGfI7+acJIyQC3+7OwtxFuHuDNyFMaYV0CrKohHW2hFRk8Sy2a0Nzdulicu290yNMhERERERSTacBtiIOyQ5Cjwc5X0O4Pht0hw1xqQAMgEhcdz2numZMhERERER+X+yHshvjMltjEmFa+KOWbekmQU0dV7XB5ZY13Nfs4BGzuyMuYH8wLr/miH1lImIiIiISJw96H882lobZox5B5gPeAKjrLU7jDE9gA3W2lnAj8DPxph9uHrIGjnb7jDG/ArsBMKAt//rzIugRpmIiIiIiPyfsdbOBebesuzTKK+vAA1us21PoGd85kfDF0VERERERNxIPWUiIiIiIhJnD/ofj06K1FMmIiIiIiLiRmqUiYiIiIiIuJEaZSIiIiIiIm6kZ8pERERERCTOItydgWRIPWUiIiIiIiJupEaZiIiIiIiIG2n4ooiIiIiIxJm1mhI/vqmnTERERERExI3UKBMREREREXEjDV8UEREREZE4i0DDF+ObespERERERETcSI0yERERERERN9LwRRERERERiTP98ej4p54yERERERERN1KjTERERERExI00fFFEREREROLMavbFeKdGWSLKmy+Qb4f1xts7MyEh53j7ra4c2H84Rrr3uralTr0XCAsLJzwsjC97DGDp4lUAdOzcmtp1nyc8PAJjDIMHDGfGtLmJHQoA/rmz886ADmTInIEL5y4wpONATh46ESOdh4cHzT9vSamqj2AtzBg6hcUTFwJQsnIpmnR9jZwFA5k35jfG9vwpcrs7rUtsefLmYvDQr/HyzszZkHO0b/0BBw/ELLuOXVrzUt3nCQsPIzwsnK97DGLZktUA1Hu5Jm3fbU6Bgnn59INe/DTyl0TLv1/u7LQZ0J70mTNw8dwFhnYcHKOsjIcHTT9/k5JVS2OtZdbQaSybuOiu6wDKvVCBOu1fxhiDtZavXvmM80Gh1OvQkKdee46zp0IA2LtxN6M/GZHAsfrzVpRYh3X8hlOxxPr65y0oUbU0WMvsodMj4ylWuSQvd32FhwvmYsGYuUzoOSbGZ/jnyc6Xc/uz6OffY12f2LLnzk77AR3J4JWBC2cvMLjjAE7c5lx88/NWlH7iEay1TPt+KosmLgCgQfuGVKpVhfCwcCLCwxnXeyybV2xK7FDIltufFv3fiSy/HzoN4fShk9HSGA8PXunenGJVS2GtZe7QGayctBiASg2e5OnmL2JtBB4eHqyYuJhFo29eI8u+UJ6a7eqDMWAt/V7twfmg0ESNMarAPDnp9e1nZPbKxLmzobz/dncOH/wnRrqKT5Sj44dtKVA4H+N+/JU+3QdHW/9srado26lFZFxvNHib4DMhiRXGbeXOm4t+332Bl1dmzp49x3ttP+bQgSMx0lV+ojydP2lHwcL5GTtyAl99NiBynY+vN32GfE72AD9SpkrJmpXr+Lxbb8LDwxMzlFjlzRfIsOF98fb2IiTkLG+16sKB/YdipOvy/jvUq3/jdz2cHt37sXjxSgC+H9aHJ56sQHDwWQBmTp9Hv77fJ2YY96XvtyNZtGw1x06cYvrPQ8mfJ9DdWbonefMF8v3wPpG/621adYm1Tta569vUrf8CYWFhhIWF8+Xn/Vni1Mk6dW5DnXo362SD+g9jupvqZPLgi/dGmTFmLtDEWnsujukDgd+stcXiOy9x+OyL1tr0ifV5/QZ+zqiR45k8aRYNGtai/6Ae1KnZNEa6vzZu5fsho7h8+QpFixVi1txxFC1QkStXrvLDiHEM7DcMAD+/rKzd8DtLl6wi9Nz5xAojUquv2vL72LmsnL6MynWe4K2v3+bzxh/HSFe5dlX8cvnTrmprMnhloO/cQWxdtYUzR09z6sgphnX7jnLPlSdV6lTRtrvTusTWe+BnjP5hAlN/nU29l2vSZ9BnNKjVPEa6TRu3Mezb0Vy+fIUixQoybc4YShWsypUrV9m+bRdtmnfmnY5vJnr+W3zVmgVj57F6+nIq1qlKi6/b0LPxp9HSVKpdBb9cfnSq2pb0Xhn4am5/tq/aQtDRM3dcl7t4Xup1bETPxp8SeuYcaTM8RNi165H7XTltKb8kYsPlja9as2jsPFZPX0HFOlVo/nVrvm78WbQ0FWtXIVsuPzpXfZv0XhnoGSWeM0dO8WO3oZR97nFSxnLcGQ8Pmn/Vmo0L/kyskO6q9VdtmTd2DsunL6NqnSdo8/XbfBrLuVilTlX8Av1pW+UtMnhloP+8wWxZtZkzR0/z9+a9zBwxg2tXrhJYOJAvf/2a5mWacu3qtUSN5fWerVgy9nf+mLGSx2tXpulXb9G3yefR0pSvXZmsgX588EQ70ntl4LM5fdm5eivBR8+wYd4frJq8FIA06dLQY/5Adv+xg6O7DxNYPC8vdXiZPk0+57xzrF6Pcqy6Q/e+3Rg/agqzp8yjZv3n+LzfBzSr1zZGun8OH+OTTj2p8WI1UqdJHW1dsZKFeadLS5rVa0vQ6WDSZ0jHNTfHdcOX/T/m5x8nMWPyHGo3eIGeAz7hldotY6Q7cvgoH3TowXM1q5M6dfT42nZswf69B2nRuB0pUqRg8tzRPPtidebMXJBYYdzWoMFfMnLEOH6dNJOXG77E4G++pOYLr8ZI99eGLXz7zQ9cvnyFYsUKMef3CRTM9zhXrlwFYOCA4Ywc/nNiZ/8/qV65PK82qE3Ttp3dnZX70n9QD34YMS6yTjZg8BfUfvH1GOn+2riF74b8GFkn+23eeArnr8CVK1cZOeJnBvQbCrjqZH9unM8SN9XJ5MEX78+UWWufj2uD7P+Jr683JUoWZerk3wCYOvk3SpQsio+PV4y0Sxev4vLlKwDs2L4bYwxe3pkBuHD+YmS6dOkfwlqLh0fiPxqY0ScTeYrmYfXMFQCsnrmCPEXzkNE7Y4y0FWpWYtHEBVhrOR9ynnUL/qT8CxUBOHn4BAd3HCAiLOY8Pndal5h8fL0pXrII06fMAWD6lDkUL1kk1rJbtmR1ZNnt3L4Hw82y27NrH3v37CciInHjyeiTicCieVgz03VXds3MlQQWzUOGW8rq8ZoVWTJxIdZaLoScZ+OCdTzulNOd1j3/Zk3mjJhJ6BnXaX/5wr9cv+qeCuHNWF13MdfMXHXbWJdOXBQZz4YFf1LuhQoAnDp8ksM7Dt72uKvZtg6blmzk5IGYPVHukMknE3mK5WWlcy6unLmCPMXyxnouVnyxMgsnzL95Ls7/g4pOOW5esYlrTgXx0K5DYAwZvDIkWhwAGXwykqtYHv6c5epd/nPWanIVi1l+ZV+swPIJN8tv04J1lH2+PABXLl6OTJcqbWpSpPTEWtcwm6dbvMjvI2ZzPsqxGuamYxXA29eLIiUKMWfafADmTJtPkRKF8PLJHCPtkYNH2bV9b6y9Q01bN2HU9+MIOh0MwMULlxK9MR0bH19vipUoxKyp8wCYNXUexUoUwjuWa+fhg/+wc9tuwsJixmetJV36dBhjSJU6JSlTpuTkidMJnv+78c3iQ4mSRZkyeTYAUybPdv2u+3rHSLt48crI34btzu+6t3fM7+FB8kjJYvhny+LubNwXX19vSt5SJyt5m7JbEkud7EbZJZU6mSQP93zkGGO6GmPaO68HGmOWOK+rG2PGGWMOGWN8jTGBxphdxpiRxpgdxpgFxpi0TtpHjTFbjDFrgbej7LuoMWadMWazMWarMSa/s5/dxpgxzrIpxpiHouxnuTFmozFmvjHG31me1xjzu7N8pTGmkLM8tzFmrTFmvTHmi//87d2DgBz+nDhxKrJCHhERwcmTpwnI4X/H7Ro2qcOhg0c4cfxU5LJmzRuxdsPvLFk5g07vfsLZkMRvA/v6+xJyKiRaPCGnQ/DJ7hszbfYsnDl68wc06NgZfP1jpkuqAgL8OHn8dLRYT504Q/YcfnfcrkHjlzh86J9oZecOPv4+nD0VjHXybyMiOBtLWflkz0LQ0TOR74OOncHb3+eu6wLyP0zWnNn45Ncv6TmnH7Xb1Y+23/I1K9Hr94F0+/kz8j9SMEFivME7lljPxRqrL8FR4gk+FoR3HI7JhwvlokSVUsz7YXb8Zvw/8MnuS3As56Jv9piVpSwBWTgTJe4zx8/gE0u6J+tX4+ThkwSfDE64jMfC29+XsydDopffqRC8nGPtBp/svgQfi1J+x6OXX6mnyvDFgoH0XT2UeSNmcWyPa7hc9vw5yJIzK+9P6sFnv/XhxXfqJUJUt+efPRunTpyJVnanT57BP3u2e9pP3gK5eThXAD/PHM7URT/TumPMXnx38A/Ixslb4jt18gz+AfcW35B+I8idNxfrdi5m3c4lrFi6ho3rNidElu9JjgB/Tpw4ecvv+ilyBNz5d71xk7ocOniY48dvDst9553mrPlzLuMnDKNAwbwJmm+5Q50s4M6/642a1OHgwSPRyq5Z88b8sfF3lq2aScf2H7ulTuYOEdgk/e9BdD/N+RVAZed1GSC9MSYlUAlYeUva/MB31tqiwDngxi/gT0B7a235W9K3BgZba0s5+z7qLC8IjLDWlgDOA22dzxwC1LfWPgqMAno66UcA7ZzlnYEbg7MHA0OttWWB6A8pJEEVKpblg4/epVXzTtGWjx41kfJlnuXZ6i/TsXPryJ4YSTrKVyzD+x+2p02LB3NYx73w8PQkZ6FcfP1qd754+WNKPvEIles+AcCi8fPpUKk13Z7tyG/DZ9Bp5Aekz5y4vS/xxTOFJy16tWHUR8MjGw3JUdFyxWj83qsMaNfX3Vm5b5sXbeCTGh354Mn2VKhTBb882QHw9PQgR6Fc9H+tB70bfkrxJ0pToW5VN+f2v0vh6UnBIvlp3uAdXn/pLapUr8BLLz/v7mzFm+dfqsHunXt5rEh1yhd7msfKP8JzNZ9yd7buS8VKj/HRJx1p/kaHyGVffN6fUiWqUaHc88yeNZ+p039Sb0sSVKHiY3z4cQdaNu8YbfnoURN4/NFnqVGtAZ26tFGdTO7b/Zz1G4FHjTEZgKvAWlwNqMrEbJQdtNZujrJdoDEmE5DZWrvcWR51EPVa4ENjzPtALmvtjXEo/1hrVzuvx+FqABYEigELjTGbgY+BHMaY9EAFYLKzfDhw47ZVRWBCLJ8bjTGmlTFmgzFmw4gR9z8pQeNX6rJ01UyWrppJoSIF8PfPFnmh9fDwwM8vK8eOxj4EqsxjpRg6sh+vN2nLvn0HY02za+deTp48TcVKj913Hu/Fkw2q03fuIPrOHcTDBXPhnc07WjzeWb0JPh4UY7ug42fIkiNr5HvfgCwEnYiZLilp+EodFq6cxsKV0yhYJD9+2bNGizWbfxaOH429Xf9o2ZIMGd6bN159h/37DiVirmMXfCIYr2w+GCf/xsMDr1jKKvj4GXxz3Ow18Q3IQsiJ4LuuCzp2hnVz1xJ2LYwrl66wccE68pbKD0DomXOEO8ORtq/aQsiJIHIUzJlgsYbEEmvmWGMNwidKPD4BvoTc5ZjMnNWLbLn86PLTxwxcNYxnmr/Ik42eovnXreM/kLuo1qA6A+YNZsC8weQqmAufWM7FoONnYmx35tgZskSJO0v2LARHSVfwkYJ0GNyJXi17cvzAsYQP5BYhJ4Lw8vOOXn7ZvDl7InqPXfDxIHwCopRf9tjLL+R4EAe27KNktUdd2x0LYuO8PyKP1U0L15O7ZL4EjCimuo1qMn3JeKYvGU/+wnnJ5p8lWtll9ctyz73rx4+eYP5vi7l+7TqXLv3L4t+XU6J00YTI/l3Vb/ISc5ZNYs6ySRQonA+/W+LL5peFE8fuLb6mLRszc8pc13DVCxdZOG8Z5SuXTYjs39Urr9Zj5ZrZrFwzm8JFCuDv73fL73o2jh6L/Xe97GOlGfHDAF5p1Jp9f9/8XT9x4lTkENuJE6aTPt1Dd+2xkXvX5NV6LF89i+WrZzllF0ud7Fjsv+tlHyvF8B/68WrjNtHKLqpdO/dy8sRpKlUql2AxSPJ2z40ya+114BDwBrAGV0PsSSAvsOuW5FejvA7HNbGIgdj7Fa21vwC1gMvAfGNMtRurbk3q7GeHtbaU86+4tbaGE9O5KMtLWWsL37Lt3WIcYa0tY60t06pVq7slv60J46fxZKWXeLLSS0z6ZTrbt+2iXoMXAajX4EW2bd0ZOdtSVKUfKc4PPw3ijdfbsXXLzmjr8he4OawhZ64cFC9RhD279993Hu/F0smL6fJ8B7o834HlU5dwaOdBKr5UBYCKL1Xh4M4DnA+J+XDr2jmreapRDYwxZPTOyGM1yvHH3DWJkuf7NWn8dJ6uXJenK9dl8oSZ7Ni2mzr1XwCgTv0X2L51V6xlV7J0MYaPGkDLph3ZtuXW08E9zgeHcnjnQSq85OrgrvBSZQ7tPMCFW8rqzzlrqNboaYwxZPDOyKM1HmPd3LV3Xbdm5gqKVykFuHqTilUsweGdhwDwynZzfH6uIoH45sjKiQSs7J8PDuXIzoNUeKmSE2slDt8m1icbPRUZT5ka5Vg394877jv4eBBtSjejY6XWdKzUmvmjfmPpxEWM+mBYgsVzO0smL6bTc+/S6bl3WTplCQd3HqSycy5WfqkKB3bEfi6umbOapxs/c/NcfOZx1s5znYv5SuTnve/ep0/rXhzYnjjXlFtdCD7PkZ2HKFfL9ZxbuVoVObzjYIzy2zB3LVUb3yy/0jUeY+M8V/n55c0emS69VwYKP16Uo87wxT9mrqRo5ZKA61gtUrE4/+yKOdtaQpo2cTZ1qr1CnWqvMGPSHHZv38sLdZ8B4IW6z7Br2x7OBt/b8Kffps2n4hOPA5AihSflK5dl946/4z3vcTHll5m88ERDXniiIdMmzmbntj3UqvccALXqPceOrXsIieXaeSdHDx+jSjXXMZEyZQoqVS3Hnl374j3vcTF+3FQqV6hJ5Qo1mfDLNLZt20n9BjUBqN+gJlu37iQ4KOasl488UpyfxnzD66++zZYtO6Kt8/e/OZyzevXKhEdEcNzNw96To1/GTaVqxVpUrViLib9MZ9stdbLblV3pR4rz4+jBNHstZp0s6lDTnLlyULxkEfbscc+xmdistUn634PI3E/GjTHdgebOv23AemCjtbaOMeYQzrBGosyqaIzpDKS31nY3xmwF2lprVxljegMvWGuLGWPy4Opds8aYQbgafzOAg0AFa+1aY8xIYDeuoYs7gdec5SmBAtbaHcaYNcBAa+1kY4wBSlhrtxhjZgG/WmvHGWPaAH3jMPui9c1Y4J6/o9jky5+H74b3JnPmjJw7d563W3WN7AWbMGUkvXsOZvOm7SxcNpWHcwZEu1vatlUXdu3cyw+jB1GocH6uXw8jIjycIYN/uO8p8YPO7wWgfq5a97V99rwBtOvfgXSZ0nMp9CJDOg2KvLv+4ehPmdT/F/Zv24eHhwcterxFSafiPmPoNBZNcD3YXqhMYTp+24W06R/CGPj3wr9833UIW1ZsuuO6uJhyeBb+mYvcV2y3ypc/N4OHfk2mzBkJPXee9q27RfaCjft1GH2/GsKWzTuYt2SSq+yiPITe7q332b3zb2rXe55PenQmc+aMXLt+nX8vXaZx3Zbs3XN/FeAT53bSJFedOKXNnjeA1v3bR5bV0E6DOXHgOF1Hf8zk/hM4uG0/xsODN3q0jGxgzR46jSUTXH+64I7rjOGVj5tR8olHsBERbF2xmfFfjsZaS+v+7cldPC8R4eGEXQ9j6sCJbF76V5zy/Mvh6byaq+69fi345w3grf7tImMd3ukbThw4TufRHzG1/8TIWJv2eDMynt+GTmepE0+BMoV459v3SJs+LRjD5Qv/MrLrd2xbEf0ZlrodGpI6XZr7nhJ/3OFp1MlZ8762vVVA3hy0H9CB9JnSczH0IoM7Dow8Fz8e/RkTBoxn/1bXudjyi7coVaU0ANOGTmXhL65zsc/sAWTNkZWQKM+RDeowgCN77r3RMv2I65m75oH175IyJr+82XmzfzseypiOf89f4odOQzh54DgdfvqQGQMmccgpv1d7tIhsYM0bNoPlE1x/0qDRJ80oWrkk4WFhGGNYMXExi8e4JpowxvDyR69T/InS2AjL9hWb+bXn2Hv+AR91aAqFssZPT03ufLnoNaQ7mTJnIPTcBbq9052DzrTcw38ZxJDew9m+ZRePlCvJgOE9SZ/BNeHFhfMX+bjjl6xa+gfGGN7//F0qV6tARIRl9bK19P5s8H1XTHafXk9un5LxEl+e/IH0/+5LMmXKSGjoed5r+xEH9rniGzXxWwb2+p5tm3dSplxpvvmhd7T4urXvzoqla8gZmIOe/T/GN6svnp4e/LFqPZ9/0Oe+p8Q/GLyFTOnj57mt/AXyMGx4XzJnzsS5c6G81apzZE/K5Kk/8tWXg9i0aRtLl08nZ66AaI2tt1q+x84de5k5eyxZsvoSERHBhQsX+eSjXmxYf//PzIVe3M/1oAP/Oba7+WrgUBYvX01QyFkyZ8pE5owZmDl+eIJ+ZkrfPAB4Z8j/n/eVv0Aevh/Wh0xeGQk9e542b3WJLLtJU0bytVMnW7RsKjlz5YhWJ2vdsjO7du5l1JjBkXWy8PBwhgwa+Z+mxA+58De4Oh2SvOcefi5Jt3zm/TPvgfgeo7rfRll14HdcwxAvGWP2AsOstQPi2Ci78QzYv8B8XM+FFTPGfAC8ClzH9cxXEyAjMBfXs2wVgL9xNcT+NcaUAr4BMuHqhRtkrR1pjMkNDMU1bDElMNFa28NZ/ouTdirwcWI2ypKa/9ooS+ris1GWFN1Lo+xBdL+NsgdFfDbKkpr/0ih7EMRnoywpis9GWVIUn42ypCixGmXuEJ+NsqRIjbL48yA2yu7r75RZaxfjauzceF8gyutA52UQrme+bizvF+X1RiDqFb+7s/xr4Ouon2WMyQhEWGtjPLjhPK9WJZblB4Fnb7M86uQivWIJT0REREREbiP5TnflPpreR0RERERExI3uq6csMVlrDxGlx01ERERERCQ5SfKNMhERERERSTrsA/oHmpMyDV8UERERERFxIzXKRERERERE3EjDF0VEREREJM4iNHwx3qmnTERERERExI3UKBMREREREXEjDV8UEREREZE4s1bDF+ObespERERERETcSI0yERERERERN1KjTERERERExI30TJmIiIiIiMSZpsSPf+opExERERERcSM1ykRERERERNxIwxdFRERERCTOrIYvxjv1lImIiIiIiLiRGmUiIiIiIiJupOGLIiIiIiISZxFWwxfjm3rKRERERERE3EiNMhERERERETfS8EUREREREYkzDV6Mf8ZqTOjd6AsSERERkcRg3J2BuKgcUD1J149XHlv8QHyPUamnLA52F3je3VlIEIX2zgUgtGl1N+ckYWQas5jZfo3dnY0EU/PkBKrnqOHubCSYxUcX0D6wobuzkWC+OTSJd5JpfN8emgRAilQBbs5Jwgi7doyL79d1dzYSTPre05J9fGWzV3F3NhLM+uMr8M6Q393ZSBAhF/4G4HrQATfnJGGk9M3j7iyIG6lRJiIiIiIicRahgWTxThN9iIiIiIiIuJEaZSIiIiIiIm6kRpmIiIiIiIgb6ZkyERERERGJMz1TFv/UUyYiIiIiIuJGapSJiIiIiIi4kYYvioiIiIhInFmr4YvxTT1lIiIiIiIibqRGmYiIiIiIiBtp+KKIiIiIiMSZZl+Mf+opExERERERcSM1ykRERERERNxIwxdFRERERCTOrIYvxjv1lImIiIiIiLiRob8b4QAAIABJREFUGmUiIiIiIiJupOGLIiIiIiISZ/rj0fFPPWUiIiIiIiJupEaZiIiIiIiIG6lRJiIiIiIi4kZ6pkxEREREROIsQlPixzv1lImIiIiIiLiResrcIGVgANl7d8Izc0bCz53neNf+XD98PNa0qXIHEDhjCGd/mcOZ3j8mck7jziNbDtK2eh+TPiP24nkuj+hFxKlj0dKkrv06qarXwp4NBiDs7x1c+fkbANJ17YNJn8mV0NMTzxy5ufBxSyL+OZCoccQmXR4/Sn3ThlReGbh29gKb2w3l0sGT0dLk71iHgNoViAgLx4aFs/vrSZxZtjVy+xL9WpIy40N4pErJ8Vlr2dtvqjtCiZQjdwDvD+pCRq+MnD97nl4d+nDsYMxj0MPDg3d6tKXsE2WwWCZ+N4m5E36PXF/1xSq82uEVDAaLpWuj9zkbdA6vLF507PUu/jn98EyRgl+GTGDRtMWJEluW3P682r8t6TKn59K5i4zr9B1nDkUvL+NhqN/9DQpXLYm1sGjoTNZOWhK5vvQLj/NMu3pgDFjLd69+yYWgUDJkyUSjr1rinSMrnilTsODbaWyYsSpR4roha25/XosS39jbxNfAiQ8LC2KJ77ko8Q1x4nu8wRM82fx5rLV4eHiweuJilo/+/dYsJKr8+fPw04+D8PbxIiT4LM2av8u+fQdjpPvoww68/HItwsLCCQsL45NPerFg4XIAChTIy3dDvsbH1wuArl17sGjxykSNIzbG1580L7fHPJQB++8Frkz6Bht8Ika6FCUqkLJag8jyuvJDd+zFUFKUqUbKSi+CtWA8CFu3kOtr5rohktgl9/gAcubJwWeDPiSTVyZCz4bS/d2v+Ofg0RjpylUtS9tuLclXKA+//jSNwT2+j9M6d8ubL5Dvh/fByzszZ0PO0aZVFw7sPxwjXeeub1O3/guEhYURFhbOl5/3Z8li17WxU+c21Kn3POHhERhjGNR/GNOnJa1yjE3fb0eyaNlqjp04xfSfh5I/T6C7syTJ3P9lo8wYEwhUsNb+4o7P9/v8Hc6O/43zs5aSsdaT+PVoxz9NP4iZ0MMDvx7tuLDoj8TP5D1K26wD1xbP5PqaRaSs8BRpm3XkUu/OMdJdX72QKxOHx1h+qU/XyNcpHqlImnpvJIkGGUCJPm9y6KeFHJu6ioB6lSjR903W1v8yWppzm/ZzYNgcwi9fI2ORnFSY/ikLSrYh4sp1inzShBO//cmhUQvwfCg1T6zoy+nFmzm3ab+bIoIOvd5l5pjZLJq2mKfqVqdjrw50btg1RrrqdaqRPTA7r1d+g4xeGRk+/3s2rtzEqaOnKFAiP007vcZ7Dbty9sxZ0mV4iGvXrgPQ5rO32Lv1bz5t0Z1M3pkYOu87tqzdypkTZxI8toY932Tl2PlsmLGKMrUr0fCrlnzb5ItoacrUroxvoB9fPNGBdF7p6TqnN3tWbyPk6BkeLp6H5zo0YEiTHlw4E0qaDGkJuxYGQJ2PX+fI1gOMbNmP9N4Z6Dy7F/v+3MW5E8EJHlfU+FaMnc/6GasoW7sSjb5qyZBb4itbuzJZAv3o4cT3fpT4chbPw/MdGvBNLPFtnvcnf0xeBkDqdGn4aH4//v5jJ8d3H0m0+G71/be9+H7YaH75ZRpNmtRl6He9efqZl2OkW79+EwMGDuPy5SuUKFGEJYumkCPnI1y5coUfRw5g2IixjB8/lXz5crNowWQKF63E5ctX3BDRTanrtOb62nmEbVpBitJVSF23NVdGfhYtjUdAXlI91ZDLIz7DXjwHaR6CMNd5FrZtLWEbnMZ2qjQ81Gkw4Qd2EHEyZqXZHZJ7fADdenVmyujpzJu2kOfqPs0HvTvT9uUOMdIdO3ycnl36Uu35qqROkyrO69yt/6Ae/DBiHJMnzaJBw1oMGPwFtV98PUa6vzZu4bshP3L58hWKFivEb/PGUzh/Ba5cucrIET8zoN9QAPz8svLnxvksWbKK0HPnEzuce1K9cnlebVCbpm1j1mVEU+InhP/X4YuBQBN3fLCndybSFM3L+d9cd3DP/7acNEXz4umVMUZan1YNuLh0HdcPHYuxLikxGTLjmSs/19e6fjyvr12CZ678mAyZ7mt/qao8y7UV7r07f0Mq34xkKh7IsemrATg2fTWZigeSyidDtHRnlm0l/PI1AM7vPALGkMrLlcZaSJnhIQA8H0oNFq4GhSZiFNFl9slM/mL5WDJjKQBLZiwlf7F8ZPKOWV5P1KrK3AnzsNYSGhLK6vlrqPpiFQDqtazHr8OncPbMWQAuXfiX61ddlam8hfOwftl6AEJDQtm/Yz9P1KyS4LGl98lIjmK52TjLVV4bZ60mR7HcpPeOXl6PvFietRMWY63lYsgFti5YT6nnHwfgyRYvsGTEbC6ccZXRlQuXCXPiCiici13LtwBwMeQCx3YeovQL5RM8rhvS+2Tk4WK52eDEt2HWah6+TXyrb4mvdJT4Ft8mvisXL0fuI1Xa1Him9HQdwG6SJYsPpUsXY+LEGQBMnDiD0qWL4evrHSPtgoXLIxtZW7fuxBiDj4+rZ6xEiSLMn+863vftO0jI2bM8+2y1RIoidiZdJjwD8hC22dWbELZ5FZ4BeSBd9N+ClJVrcm3FTFeDBeDKv5GNFq7eLC+TKjV4ekISec4juccH4OWTmULF8zN/hmsUwPwZiylUPD+ZY7mWHj10jL3b/yY8PPye1rmTr683JUsWZerk3wCYOvk3SpYsik8s59+Sxasiz78d23djjMHb23X+XTh/MTJduvQPRfbEJ3WPlCyGf7Ys7s6G/B9JVj1lxpjXgc64rtpbgXDgPFAG8AO6WmunAL2AwsaYzcAYa+3AxMpjCv8shJ0KhogI14KICMJOh5DCPwvhZ2/eNUpdMJB0lR/lyGvd8H27cWJl774YnyxEnAsC68RkI4g4F4zxzoq9EL3xkbLck6QoVoaI0BCuThtD+P6d0feV0YsURR7h8o/9Eiv7d5Q2uw9XTp6FCKciEGG5cuosabP7cC34Qqzb5Hi5Cv8eOsWVEyEA7Ph0LI+N7UKuZk+TKlM6dn4xnsv/BCVWCDFkyZ6FoJNBRDjHYEREBMGngsmaPQuhIdHLK2tAVk4dPRX5/vSx02TJ7vqRypU/JyePnGTglP6kTZeGlfNWM/4bV+fz3m1/82StJ9izZS9+D/tRtEwRTkbZT0Lx8vch9GQI1ikvG2E5f+osmf19uRhys7y8svsScuxmGZw9HoyXvw8AfvkDCP7nNO0ndSd1ujRs+X0dC76dBsA/2w7ySM0KHNm6H+8cWcj9aAFCjiZ879+d4guNJT7vOMTXwYlv8+/rmO/EB1D8qUep1bUxvrmyMavPBI7v+SeRoovp4RzZOXb8ZLRj9fiJUzycIztBQSG33e611xqw/8Bhjh1zDZX766+tNG5UhyHf/sgjpYtTsEBecuXMkSgx3I7J7EPE+eBo1017PgSPTL5EXLr5W+CRNQc25BRp3/oCUqclbPsfXF8yJXK9Z+GypHruFTy8/bj2+zgiTrqvVzOq5B4fQLbsWTlzy7X0zKlgsgVk41yI+268xZeAHP6cOHEqWnwnT54mIMCP4Ducf42a1OHgwSMcP35zWHWz5o1p/XZTAgL8ad/2A86GnEvw/Is8aJJNo8wYUxT4CKhorQ0yxngDAwB/oBJQCJgFTAG6AZ2ttS+6K793lMITvy/f5US3ATcbb8nAtaWzuTp7PISHk6LoozzUoQcXuzXHRvmBTlmpBmHb1sdozD0ofMoXplDXBqxt+FXkslyvVefolJXs//43UmfNTIVpn3Bu8wG3Dl+MD54pPMlTODddm3QjRcoU9Br3FaePnWbh1EUM6zGCtt1bM2LBUE4fO8Om1ZsJvx7m7izHiYenJ9kL5eT7177EM2UK2oz5kLPHg1g/bQUzeo6lzidNeX9eH84eC+LvNTsID0tad7fvxtPTk4BCOfnWia+tE9+6aSsA2LZoI9sWbcQruw+tRnRhx9JNnD4Q8zmgpKpK5cf5/LMuPPv8zZtZzd/sSP9+3WnatCG7du1l9er1XL9+3Y25vAcennj4B3L5h8/BMwVpW3yKPRdE2F/LAAjftZ7Lu9ZjMvuS5vVuhO3+CxsU+zPKSVJyj+//TIWKj/Hhxx2o+1KzaMtHj5rA6FETKFykACN+7M+yZWvUMHvAafbF+Jf0+4/jrhowxVobBGCtvXEbZ4a1NsJauxPIFpcdGWNaGWM2GGM2jBgxIl4zGXbiDCmy+cCNrnsPD1Jk9SYsyrM2KbJ4kzKnHw+P7EHeJT/h1fQlMr/8LH5ftIvXvMQXG3wGj8y+YJyYjAcemX2wIaejpws9C87wjLAdG7EhZ/DIERgtTarKzySZoYsAl48Hk8bPCzyMa4GHIU02Ly4fj/kMkdej+Sn97dusf6M/l/bfrMTmfvNZ/vnVVeG9evocQat34FO+cKLk/4ZnXq7B8PlDGT5/KLkLBuLr5xs5fMTDwwOfbD6cPh6zx+f0sdNky3HztMkakJUzTrrTR0+xYs5Krl+7zuVLl1mzYA2FShcEXEMWv27fm1Y12vDxG5+SNl1ajuxL+DvcZ08Ek8nPG+OUl/EwZMzmxbkT0Xsmzx4PwjvAN/K9V3YfzjrPhYUcO8PmeX8Sdi2Mq5eusG3hBnKVzAu4hiz+3PFbej/XlRFv9iFVujSc2pd4w4tjiy9TLPGF3CW+TbeJL9pnHQ/m8JZ9FKv2aAJGFFPT119mw/oFbFi/gKLFChGQ3S/asZrdPxv/HI29Uv54uUcZM3oI9eo3Z+/emzc9Dh48Qt16zSlTtgavvf4Ofv5Z2b17X6LEczv2XDAeGX2iXTdNRm8iQoNuSXeGsG1rITwMrl0hbOc6PB7OF8v+goj4529SFC6TGNm/q+QaX82GzzF+4Y+MX/gjeQvlIcst19Is2Xw4dSzhRwUklCav1mP56lksXz2LwkUK4O+fLVp8fn5ZOXbsZKzbln2sFMN/6Merjduw7++Yk/EA7Nq5l5MnTlOpUrkEi0HkQZWcGmWG2AebX70lzV1Za0dYa8tYa8u0atUqXjJ3Q3hIKFd3HSDji1UByPhiVa7s3B9t6GLYiTPsK9eY/dXeYH+1Nzg7Zibnfv2dk58Mide8xBd74RzhR/aRsrzrGY2U5asRfmRfjN4u43WzkuiRMy/G14+IkzeHRnnmK4JJm46wresSJ+NxcC3oPKE7DhNQpyIAAXUqErr9UIyhi5lK5eHR4e3Z8OZAQrcdirbu3yOnyfpkSQA806XBu1whLuxO3CFh839dwFvPtOGtZ9qwYMpC9u3cT7XaTwJQrfaT7NuxL8bQRYAVv63g+cbPYYwhk3cmKj5TgZVzXbPWLZ6xlDJVXRV2zxSelK5Ymv07XZOzZMycAQ9P1+WlVIVS5C6Um8XTlyZ4nBeDz3Ns5yEereUqr0drVeTYjkPRhvYBbJr7B+UbV8cYQ3rvDJSoUZYt8/4EYOPM1RSqXAIAjxSeFKhYjGO7XBMLPJQ5fWRc+csXJXvBh9kwM/FmX7wRXxknvjK1KnL0NvFVvCW+zU58G26Jr2CU+LLlzR65j3ReGcj/eFGO70nc4WJjxv5KmbI1KFO2Bj//PJktW3bQqFFtABo1qs3mzTtiHbpY5tGS/DJ+KA0btWLT5u3R1mXJ4hP5+vXXXubq1WssXuLe2RftpVAijh8kRalKAKQoVYnw4wfgUvTJD8I2r8Qzv+v6gYcnnvmKE3HiEAAmS8DNhA9lwDNvsSQzCUZyjW/2pHm88nQLXnm6BXMm/87eHft4pnZ1AJ6pXZ092/9+oIcu/jJuKlUr1qJqxVpM/GU627btol4D16Cieg1eZOvWnbEOXSz9SHF+HD2YZq+1Y+uW6I8lFCh486ZPzlw5KF6yCHv2uPemiEhSlGyGLwKLgenGmIHW2mBn+OLtXAAy3GF9gjr52bf4934P37ebEH7+Iie6up6fyjHyc4IGj+PK9r/dlbX7dnnMINK2fJ/UL72GvXSByyN6AfBQp6+4Om004Yf2kqZ+CzwD80NEBDbsOpeHf+3qPXOkqvws11YvvPkMQhKxreuPlPqmDQU61eV66CU2tXNNV/zY+K7s6TOF0C0HKNGrOR5pU1Gi75uR221653su7P6Hze8Oo1jPZuRp/QIeKT05NmMtp5dscVc4AAzq9g3vD+rCax1e4ULoRXq92ydy3Vdjv2R0vzHs3fo3C6cuplDpQoxd+RMAPw8az4kjrrukS2cuo2CJAoxa+gM2IoINyzcyz5kuv1DpQrzdoy0R4RGEhoTycbNPuHrlasyMJIBJH/3Aq/3b8mz7evx7/hLjOn0HwFs/dWPugF/5Z9sB1k9bQWCpfHyybBAAv38zleB/XD27f81eQ84Sefhw0QBsRAS7V2zhj0muBmWuUvmo91kzbEQEF0MuMOLNPly/ci1R4rph4kc/8Fr/tjznxDfWia/NT92YM+BXjmw7wDonvk9jiW+jE9/HTny7VmxhrRNfxSZPUbhyCdeQTGNYMXY+u1duTdT4btX2nW789OMgPv6oI+fOnqNZ85sz282eOZbun/dj419bGTLkK9KmTcP33/eOXN/sjfZs376bmi/WoEvnt7FYDuw/RP0GLdwRSgxXpg8nzcvtSFX9Zezli1yZ5PoTIWne+IhrCyYScWw/YVtW4ZEjLw+99w3WRhC+dzNh610TS6QsVwPPAiWdEQiG62vmEf63e68tUSX3+AC+7taf7oM+pEXHZlwIvUD3d3tGrhv0cx+G9/2RXVv3UPKx4vT8/jPSZUiHMYana1Xjy/d688fy9Xdc527vdfiU74f1oUu3dwg9e542b3WJXDdpyki+7jmYzZu203dAd9KkTcOAwTdngm3dsjO7du6l24ftKVQ4P9evhxEeHs4HXb5g756kP3z/q4FDWbx8NUEhZ3nz3Q/JnDEDM8fHnD36/5XV8MV4Z5LTlJbGmKZAF1wTfGxyFv/mTO6BMeaitTa9MSYl8DvgC4y+y0QfdneB5xMy225TaK/r74SENq3u5pwkjExjFjPbL2lPkvJf1Dw5geo5arg7Gwlm8dEFtA9s6O5sJJhvDk3inWQa37eHJgGQIlXAXVI+mMKuHePi+3XdnY0Ek773tGQfX9nsCT8brLusP74C7wz53Z2NBBFywXXT+npQ0viTOfEtpW8eiOOoLncr4Vc+STcgtp5c+0B8j1Elp54yrLVjgDF3WJ/e+f91IHm2RERERERE5IGSrBplIiIiIiKSsCKS0Ui7pCI5TfQhIiIiIiLywFGjTERERERExI00fFFEREREROJMsy/GP/WUiYiIiIiIuJEaZSIiIiIiIm6kRpmIiIiIiIgb6ZkyERERERGJM02JH//UUyYiIiIiIuJGapSJiIiIiIi4kYYvioiIiIhInGlK/PinnjIRERERERE3UqNMRERERETEjTR8UURERERE4kyzL8Y/9ZSJiIiIiIi4kRplIiIiIiIibqThiyIiIiIiEmeafTH+qadMRERERETEjdQoExERERERcSMNXxQRERERkTjT7IvxTz1lIiIiIiIibqRGmYiIiIiIiBsZq+7HJMUY08paO8Ld+Ugoiu/BlpzjS86xgeJ70Cm+B1dyjg0U3/+rvL6PJOkGxP6gv4y783Cv1FOW9LRydwYSmOJ7sCXn+JJzbKD4HnSK78GVnGMDxfd/ySbx/x5EapSJiIiIiIi4kRplIiIiIiIibqQp8ZOe5D5uWfE92JJzfMk5NlB8DzrF9+BKzrGB4vu/ZG2Eu7OQ7GiiDxERERERibPcPiWTdAPiYPAWTfQhIiIiIiIicafhiyIiIiIiEmcRD+gMh0mZespEEoAxJrMxpm2U908YY35zY34CjTHb7yH9aGNMfef1D8aYIrGkaWaM+TY+8+kOxphlxpgyd0mTZGM1xhwyxvjGsnxNQn+GOzhlkT3K+wTJmzFmrnMeRzuX42nf8b7PpMoY86G785BQ7vW6mtTcOMbvIb3b4jXGXHTH58bG+R6auDsfkvyoUSZuY4zxdHceElBmIFlUuqy1b1prd7o7HxLTnc4ha22FxMxLImoGZL9borgwxtx2tIi19nlr7TkS5lxONteHOEi2jbIHXZRjXO5NIKBGmcQ7NcrikTEmnTFmjjFmizFmuzGmoTHmUWPMcmPMRmPMfGOMv5O2pTFmvZN2qjHmIWd5A2fbLcaYFc6yNMaYn4wx24wxm4wxTzrLmxljphljfjfG/G2M6eO+6GMyxnxhjHk3yvuexpj2xpilxphfgG1uzN5dOXfDdjs9RduNMeONMU8ZY1Y73/djxpjuxphRTm/LAWNMe2fzXkBeY8xmY0xfZ1l6Y8wUZ5/jjTGJ/RCqpzFmpDFmhzFmgTEmrTGmlDHmD2PMVmPMdGOM160bRe1JMsa8YYzZa4xZDlSMkqamMeZP5/hcZIzJZozxcL6nLE4aD2PMvv/aq2GM6XrjezbGDDTGLHFeVzfGjDPG1DDGrDXG/GWMmWyMSe+sj/VcjLJfD2PMGGPMl4kRaxziaOyc89uNMb2jbHfRGNPDGPMnUD7K8rTOtaDljXTO/59wyjDGsWeMed5ZtsoY841xenONMT7OMbLJGDMcMFE+Z4bzHe4wxrRylrUwxgyMkqalMWbAfyyvT43rGrndGDPCuNQHygDjjevcSut8ZDtn+23GmELO9umM69xc78TxkrO8mfM5s4EFxhh/Y8wKZ3/bjTGVnXQ3euBiO5f/q2j7NMZ0cfK51RjzufP5d73+OOm6G2N+NsYscZa3jKc83rNbjw1jTC8grRPneCfNq8aYdc6y4ca5seAc172d7RcZ1/X1xnW1lpOmmTFmpnOc7zHGfOauWKOI7boa9Zrpa4w55Lxu5nxHs40xB40x7xhjOjnH5x/GGO/4zFgczr1DTv4CjTG7bo3DSfuocdVH1gJvR9l30SjluNUYkz/KMTvGWTbF3Kzb3K4ulNcpz43GmJVRzt/cxnVdWG+M+SI+v5c7fF+vO/ne4pxTo43rurjGOQ7rO0l7AZWd2DsmRt6SImttkv73IFKjLH49Cxy31pa01hYDfgeGAPWttY8Co4CeTtpp1tqy1tqSwC6ghbP8U+AZZ3ktZ9nbANba4kBjYIwxJo2zrhTQECgONDTGPJygEd6bH4Gm4KqkAo2AY8BjwEfW2hhD4pKgfMBgoARQCNfdsUpAZ27eAS4EPIMrrs+MMSmBbsB+a20pa20XJ11poANQBMhDlIp+IskPfGetLQqcA+oBY4H3rbUlcDWSb1vJcX5EP8eV76dxxXHDKuBxa21pYCLQ1brmyx0HvOKkeQrYYq0N+o9xrAAqO6/L4GrspsRVLtuAj4GnrLWPABuATs76252L4Hq+djyw11r7cSLFeqc4/gZ6A9VwneNljTG1nbTpgO3W2nLW2lXOsvTAbOAXa+3IWD4rxrHnXEOGA89ZaysBWaKk/wxY5cQ4C8gZZV1z5zssA7Q3xvg430MtJ/8AbwA/xSHOWMvLSfutc40sBqQFXrTWTnHSvOKcW5edtEHO9kNxnZsAHwFLrLVlgSeBvsaYdM668kBTa201XOf0fGttKaAksPmW7y62c/m/itwnsBDXufkYrrJ+1BhTxUkXl+sPzvoXnLg+NVGGdyayaMcG0Be47Hx3rxhjCuP6varoxB7OzXMmHbDM2f4C8CWuc68O0CPKZzzmbFMKaGDuMvQ4EcR2Xb2TYrjK8TFc16B/nfNsLfB6POftTufeylvS3i6On4D21tryt6RvDQx2yrEMcNRZXhAY4fymnAfa3uX6OwJo5yzvDHzvLB8MDHXO35P3+wXElTGmKK5rRjWn/nXjhrI/ru/rRVyNMXCdvyud43pgjJ2J3Cc1yuLXNuAp525fZeBhXBfghcaYzbgqHzmctMWcu0LbcP3AFHWWrwZGO3c7bwxNqgT8DGCt3Q0cBgo46xZba0OttVeAnUCuBI3wHlhrDwHBxpjSQA1gExAMrLPWHnRn3u7BQWvtNqfSvQPX921xlXWgk2aOtfaqUwE/DWS7zb7WWWuPOvvaHGX7xHLQWnujwrkRyAtkttYud5aNAarEuqVLOVyVpjPW2mvApCjrcgDzneO5CzeP51HcrGg052ZF/b/YiKvimgG4iqsyUwZX5eMyrobHaueca4rrnCjI7c9FcDVOtltrb1QUEiPWO8VxLsrnh+FqMN4om3Bg6i37mgn8ZK0de5vPiu3YKwQciHIuToiSvgquRibW2jnA2Sjr2htjtgB/4LrG5bfWXgKWAC86d7pTWmtv9ITfT3kBPGlcPZLbcDVOb3zPsZkW5bMCndc1gG7OfpcBabjZuFxorQ1xXq8H3jDGdAeKW2sv3OFzEkINbl4f/8JVLvmddXG5/gDMtNZedq5BS3FV+N0hxrFxy/rqwKPAeqdcquO6SQBwDdeNTHDFt9xae52YsS601gY7DfJpuH4f3enW62rgXdIvtdZesNaeAUJx3UyBmHHGhzude7c2ymLEYYzJRPTfiJ+jpF8LfGiMeR/IFeUGyT/W2tXO63G4yifW669x9YpXACY7y4fjagTxv/buNUausgzg+P8JF4EgSAkoIUEFL00IWhVEPqiVaCJiUhJbiaIWFAleEv2gEbwQlBhiQPASjChGFMWIGC5RA4EqFLDcgkvTRi5qDUYaEC1orRBgHz+877BnpzOzs+Vsz277/yWbbmfOnHPeOXPOnud9nvcdSodY75rU3O5cORa4steR1rg+XJ2Zk1lK+If9bZda4eyLLcrMByLiDcC7gHMpPaDrB/QwAVwKnJCZ90bEycDSuo7TI+JoSq/nREQsoVE6NMBTjd+fZf4d00soY0BeQrlpBfhvZ3sze833d7Lx/0mm3utxj0HXx6p/+2MP8G4YVhPwbeCCzLw2IpYCZwNk5t8i4pGIOJYS6Jw05PXj70Dm07Uc6BTg98BaSibkMGAD5abtfc2XRubnAAAIjklEQVTXRMQRDD8Xqet5W0R8vXZwwBy3dYZ2PES5eR3kycx8tu+x24DjIuLyetPeb9Bnb6by2a3WU9v7duCYzNwSETdRgh0o5/rngftoBKTbeLz2oPSYH1nf17Mb2xmk177meRXAezLz/r51H03jGpSZq2tm6njgsog4b0RwOxcCODczL+7bz5cx3vUHtj5W2712Z4bPxnOLAT/KzDMHrOLpxmf3ubZm5mRMH/vXeVv79J9bewLPMNXp3f8ejHtMn7cZzr0/jtivXjuCIe9vZl4epYT6eEon1anAXwYsn3U9W11/I2If4PGabRu4mZENbNewtj7Vt4wqZ19sn5myFtWSkS2Z+RPgfMqN2QERcUx9freaIgd4IbCxpvVPaqzjsMy8IzPPAh6j9Dau7i0TEa+i9PZOu9GYx66ilHUeBVzf8b5sT/+hHOP57AlgU83qAnwQuHnE8ncAS6OMN9oNWNF4bl9KaSrUktWGSyg9plcMCCa21WpKqctqSo/v6ZQM0O2U0rxXAETEXvWcuZ/h5yKUUtvfUHpsd92ObR3VjrdGGe+xC6VsedSxOYuShf7OiGX63QccWm/+oZSVNferd805DuiNNdwX2FRvuhcDb+q9IDPvoFyv3s/0rNtM7Rx0vHo3so/V3vTljXWNe25dTxlr1hs/97pBC0XES4FHs5R9/gB4fd8ic3EuN9d5PfDhmBpLd3BEHDjL9S2LMvZ4f0oH312t7en4hn02nm6Uta4ClvfaFxGL6vs/G++or9sTOIHSITHf/JWpTpXlI5bbHgaee0M6b6bJMgnIExHRy0Y271UOpWTav0UpcX5NfeqQ3nWWct26lSHX38z8N7AhIlbUxyMiXltfextlyMO07c6hVcB76zlEjB7ftxD+vmsBMihr1xHAnTUN/wXKjdJy4Gu1pGOCkqoH+BLlxu8Gys1Rz3lRB/dTLqL3Um60dqllPD8HTs7MZu/NvFVLv35Huzfk815m/pNSkrUu2pscYC6spHzm1lLGaHxl2IKZuZGSFVoD3Egpteo5mxLQ3ELpTGi6ljLmqY3SxZ5bKGUuazLzEeBJSo3/PyiZ2Z/VNt0OLK6fw2HnYq99F9Q2XQY8wvZp67B2bATOpJw79wL3ZOY1M6zr08AeMeaEP7Xc6OPAdRFxK6XNT9Snvwy8JSLuoZTWPVQfvw7Ytb6351De36YrgNsyc1Pf47M9Xo8D36eUdF3N9CDjUuC7MX2ij0HOAXYD1tbr6bDJApZSqhL+QBlH883mk3NxLjfXSRk3dTmwpl7jr2T2N3x3Ar+mvH/nZObDbeznLA37bHyPcgx+WkvAvkiZYGUt5e/fQQPXNtytlHN0AvhlZt7dyt6363zgY1G+lqLrr5IYeO7N4vWnABdFmejjf43HTwTW1fudxZTxyVAycCvr8V1EGRc26vp7EvCR+vh6YFl9/FPAJyLiLkrAP6cycz1lnNvNdV8uGLH4WuCZKBOC7LQTfah9MUZnibTNokzwcQ+wIjMf7Hp/tP1FGYh/YWa+ecaFF7iF1taI2DszN9ds0kXAg/k8Bq5Hmb3xwsxc1dpOaqRa2rk5M8/vel/mWpRS/yMz85Nd74u2VrPuv8oyOY92cAfvd/i8DiD+vmn9gis3NVOmORPlC4f/RBmcbkC2E4qIMyiTUgwaQ7JDWaBt/Wjt6V5P6Y2+eIblB4ryZcgPUGbaMyCTJGmWzJRJkiRJGpuZsvaZKZMkSZKkDs236dMlSZIkzWOTVtq1zkyZJEmSJHXIoEySJEmSOmT5oiRJkqSxJZYvts1MmSRJkiR1yKBMkiRJkjpk+aIkSZKksfk9x+0zUyZJkiRJHTIokyRJkqQOWb4oSZIkaWyTzr7YOjNlkiRJktQhgzJJkiRJ6pDli5IkSZLG5uyL7TNTJkmSJEkdMiiTJEmSpA4ZlEmSJElShxxTJkmSJGlsk44pa52ZMkmSJEnqkEGZJEmSJHXI8kVJkiRJY3NK/PaZKZMkSZKkDhmUSZIkSVKHLF+UJEmSNLZJLF9sm5kySZIkSaoiYlFE3BARD9Z/9xuwzJKIWBMR6yNibUSc2Hju0ojYEBET9WfJTNs0KJMkSZKkKWcAqzLzlcCq+v9+W4APZebhwDuBb0TEixrPfzYzl9SfiZk2aPmiJEmSpLHtBLMvLgOW1t9/BNwEfK65QGY+0Pj94Yh4FDgAeHxbNmimTJIkSZKmvDgzNwLUfw8ctXBEvBHYHfhz4+Gv1rLGCyPiBTNt0KBMkiRJ0g4jIk6LiLsbP6cNWObGiFg34GfZLLd1EHAZcEpmTtaHzwQWA0cBi+jLsg1cz06QfpQkSZLUkr33evm8DiA2b9kQz+f1EXE/sDQzN9ag66bMfPWA5fahlDaem5m/GLKupcBnMvPdo7ZppkySJEmSplwLrKy/rwSu6V8gInYHrgJ+3B+Q1UCOiAjgBGDdTBs0UyZJkiRpbDtBpmx/4ArgEOAhYEVm/isijgROz8xTI+IDwA+B9Y2XnpyZExHxW8qkHwFM1NdsHrlNgzJJkiRJ49rRg7IuOCW+JEmSpLEl8zomW5AcUyZJkiRJHTIokyRJkqQOWb4oSZIkaWyTzknROjNlkiRJktQhgzJJkiRJ6pDli5IkSZLG5ldqtc9MmSRJkiR1yKBMkiRJkjpk+aIkSZKksfnl0e0zUyZJkiRJHTIokyRJkqQOWb4oSZIkaWzOvtg+M2WSJEmS1CGDMkmSJEnqkOWLkiRJksZm+WL7zJRJkiRJUocMyiRJkiSpQwZlkiRJktQhx5RJkiRJGpsjytpnpkySJEmSOhTOniJJkiRJ3TFTJkmSJEkdMiiTJEmSpA4ZlEmSJElShwzKJEmSJKlDBmWSJEmS1CGDMkmSJEnqkEGZJEmSJHXIoEySJEmSOmRQJkmSJEkdMiiTJEmSpA79HzU9+IftfGkZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_mat = data.corr(method='pearson')\n",
    "fig = plt.figure(figsize=(15, 15))\n",
    "sns.heatmap(corr_mat, square=True, annot=True, annot_kws={\"size\": 11}, linewidths=0.2) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如上图，season季节和month月份，temp气温和atemp体感温度强相关；\n",
    "\n",
    "对于cnt租车人数，它与 temp气温、atemp体感温度、weathersit、season也相互关联"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### temp气温和atemp体感温度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a211fdc18>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 6))\n",
    "sns.regplot('temp', 'atemp', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "很显然temp气温和atemp体感温度高度线性相关的，这里我们删除atemp列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop('atemp', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### season季节"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAf4AAAF3CAYAAABE0Ck1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAG0RJREFUeJzt3X+U3XV95/HnOz8wIEogiT+agYY6UYu6FZ2Duv5YWyQSdYuruOK628Gy5bjrMu7ibtWuW7aKbbVa3MFql22oY/VULXoqhzVKDkK1q6LBRJCgzlQDjPwwAYIgP0zIe/+4n4FLmCQzMN/5zr2f5+OcnPu9n/v5fud95+bO636+3+/9fiIzkSRJdVjUdgGSJGn+GPySJFXE4JckqSIGvyRJFTH4JUmqiMEvSVJFDH5Jkipi8EuSVBGDX5Kkihj8kiRVZEnbBTRh5cqVuWbNmrbLkCRp3lx11VU7M3PVwfr1ZfCvWbOGzZs3t12GJEnzJiKun0k/d/VLklQRg1+SpIoY/JIkVcTglySpIga/JEkVMfglSaqIwS9JUkUMfkmSKmLwS5JUEYNfkqSKGPySJFWkL6/VL6leo6OjTExMzPl2JycnARgYGJjzbQMMDg4yMjLSyLalbga/JM3Avffe23YJ0pww+CX1laZGzVPbHR0dbWT70nzxGL8kSRUx+CVJqojBL0lSRTzGL0laMHrxWxm99o0Mg1+S1Pf8VsZDDH5J0oLhtzKa5zF+SZIqYvBLklQRg1+SpIp4jF/aR1NnFYNnFktqn8EvzSPPLJbUNoNf2keTo2bPLJbUNo/xS5JUEYNfkqSKGPySJFXE4JckqSIGvyRJFTH4JUmqiMEvSVJFGg3+iPgvEXFtRHw/Iv42IpZFxLERcWVEjEfEZyPikNL3ceX+RHl8Tdd23l3afxgRr2yyZkmS+lljwR8Rq4ERYCgznw0sBk4DPgCcl5lrgTuAM8oqZwB3ZOYgcF7pR0QcV9Z7FnAy8LGIWNxU3ZIk9bOmd/UvAQ6NiCXAYcDNwG8BF5XHx4DXluVTyn3K4ydGRJT2z2Tm/Zn5E2ACOKHhuiVJ6kuNBX9m/hT4EHADncC/E7gK2JWZe0q3SWB1WV4N3FjW3VP6r+hun2YdSZI0C03u6j+Szmj9WOBXgMcD66fpmlOr7Oex/bXv+/POjIjNEbF5x44dj65oSZL6XJO7+l8B/CQzd2TmbuALwD8Hlpdd/wADwE1leRI4GqA8fgRwe3f7NOs8KDMvyMyhzBxatWpVE89nQdi5cydnnXUWt912W9ulSJJ6UJPBfwPwwog4rByrPxHYBlwOnFr6DANfLMsXl/uUx7+amVnaTytn/R8LrAW+3WDdC9rY2BhXX301Y2NjB+8sSdI+mjzGfyWdk/S+C1xTftYFwDuBsyNigs4x/A1llQ3AitJ+NvCusp1rgc/R+dDwZeBtmflAU3UvZDt37mTjxo1kJhs3bnTUL0matSUH7/LoZeY5wDn7NP+Yac7Kz8z7gDfsZzvvB94/5wX2mLGxMTo7QWDv3r2MjY1x9tlnt1yVJKmXeOW+HrJp0yZ2794NwO7du7n00ktbrkiS1GsM/h5y0kknsXTpUgCWLl3KunXrWq5IktRrDP4eMjw8TOc8SVi0aBHDw8MHWUOSpIcz+HvIypUrWb9+PRHB+vXrWbFiRdslSZJ6TKMn92nuDQ8Ps337dkf7kqRHxeDvMStXruT8889vuwxJUo9yV78kSRUx+CVJqojBL0lSRQx+SZIqYvBLklQRg1+SpIoY/JIkVcTglySpIga/JEkVMfglSaqIwS9JUkUMfkmSKmLwS5JUEYNfkqSKGPySJFXE4JckqSIGvyRJFTH4JUmqiMEvSVJFDH5Jkipi8EuSVBGDX5Kkihj8kiRVxOCXJKkiS9ouQFKdRkdHmZiYaLuMGRsfHwdgZGSk5UpmZ3BwsOdqVrMMfkmtmJiYYMu1W2B525XM0N7OzZafbmm3jtnY1XYBWogMfkntWQ57X7637Sr61qIrPJqrR/J/hSRJFTH4JUmqiMEvSVJFDH5Jkipi8EuSVBGDX5Kkihj8kiRVxOCXJKkiBr8kSRUx+CVJqojBL0lSRQx+SZIqYvBLklQRg1+SpIoY/JIkVcTglySpIkvaLkB6tEZHR5mYmGi7jFkZHx8HYGRkpOVKZm5wcLCn6pV0YAa/etbExAQ/+v53OebwB9ouZcYO2d3ZyXbf9u+0XMnM3HD34rZLkDTHDP6GNDUanZycBGBgYGDOt92LI7tjDn+A9wzd3XYZfevczYe3XYKkOWbw95h777237RIkST3M4G9IUyPnqe2Ojo42sn1JUn/zrH5Jkipi8EuSVBGDX5Kkihj8kiRVxOCXJKkijQZ/RCyPiIsi4gcRcV1EvCgijoqITRExXm6PLH0jIkYjYiIiro6I53VtZ7j0H4+I4SZrliSpnzU94v9fwJcz85nAbwDXAe8CLsvMtcBl5T7AemBt+Xcm8HGAiDgKOAd4AXACcM7UhwVJkjQ7jQV/RDwReBmwASAzf5mZu4BTgLHSbQx4bVk+BfhkdnwLWB4RTwVeCWzKzNsz8w5gE3ByU3VLktTPmhzx/xqwA/jriNgSEX8VEY8HnpyZNwOU2yeV/quBG7vWnyxt+2uXJEmz1GTwLwGeB3w8M48HfsFDu/WnE9O05QHaH75yxJkRsTkiNu/YsePR1CtJUt9rMvgngcnMvLLcv4jOB4Fbyy58yu3Puvof3bX+AHDTAdofJjMvyMyhzBxatWrVnD4RSZL6RWPBn5m3ADdGxDNK04nANuBiYOrM/GHgi2X5YuB3ytn9LwTuLIcCvgKsi4gjy0l960qbJEmapaYn6TkL+HREHAL8GHgLnQ8bn4uIM4AbgDeUvl8CXgVMAPeUvmTm7RHxPmBqAvP3ZubtDdctSVJfajT4M3MrMDTNQydO0zeBt+1nOxcCF85tdZIk1ccr90mSVBGDX5Kkihj8kiRVxOCXJKkiBr8kSRUx+CVJqojBL0lSRZq+gI8kqc+Mjo4yMTHRdhmzMj4+DsDIyEjLlczO4ODgnNds8EuSZmViYoIfbN3KU9ouZBamdm/v2rq11Tpm45aGtmvwS5Jm7SnAGdNOnqq5suGRE9HOCY/xS5JUEYNfkqSKGPySJFXE4JckqSIGvyRJFTH4JUmqiF/nk9SKyclJuBMWXeH4ozG7YDIn265CC4zvOEmSKuKIX1IrBgYG2BE72PvyvW2X0rcWXbGIgdUDbZehBcYRvyRJFTH4JUmqiMEvSVJFDH5Jkipi8EuSVBGDX5Kkihj8kiRVxOCXJKkiBr8kSRUx+CVJqojBL0lSRbxWv3rW5OQkv7hrMeduPrztUvrW9Xct5vGTzu4m9RNH/JIkVcQRv3rWwMAA9+25mfcM3d12KX3r3M2Hs2zA2d2kfuKIX5Kkihj8kiRVxOCXJKkiBr8kSRUx+CVJqojBL0lSRQx+SZIqYvBLklQRL+AjSZqVyclJ7gI2kG2X0tduBu5u4JLZBr+k9uyCRVf0yI7HqQtE9tLUELuA1W0XoYXG4JfUisHBwbZLmJXx8XEA1q5e23Ils7C6md/zwMAAu3bu5Axizreth2wgWd7AJbMNfkmtGBkZabuEWZmqd3R0tOVKpMdmRvvYIuLtM2mTJEkL20wPrg1P03b6HNYhSZLmwQF39UfEm4B/AxwbERd3PfQE4LYmC5MkSXPvYMf4v0HnGwUrgQ93td8FXN1UUZIkqRkHDP7MvB64HnjR/JQjSZKaNNOT+14XEeMRcWdE/Dwi7oqInzddnCRJmlsz/TrfB4F/mZnXNVmMJElq1kzP6r/V0JckqffNdMS/OSI+C/w9cP9UY2Z+oZGqJElSI2Ya/E8E7gHWdbUlYPBLktRDZhr8i4C3Z+YugIg4kod/vU+SJPWAmR7j/2dToQ+QmXcAxzdTkiRJaspMg39RGeUDEBFH4QQ/kiT1nJmG94eBb0TERXSO7f9r4P2NVSVJkhoxoxF/Zn4SeD1wK7ADeF1m/s1M1o2IxRGxJSIuKfePjYgrywWBPhsRh5T2x5X7E+XxNV3beHdp/2FEvHJ2T1GSJE2Z6a5+MnNbZn40M8/PzG2z+BlvB7qvAfAB4LzMXAvcAZxR2s8A7sjMQeC80o+IOA44DXgWcDLwsYhYPIufL0mSihkH/6MREQPAq4G/KvcD+C3gotJlDHhtWT6l3Kc8fmLpfwrwmcy8PzN/AkwAJzRZtyRJ/arpE/Q+Avw+nWl8AVYAuzJzT7k/Cawuy6uBGwEyc09E3Fn6rwa+1bXN7nVUuRvuXsy5mw9vu4wZu/WezmftJx+2t+VKZuaGuxfz9LaLkDSnGgv+iHgN8LPMvCoiXj7VPE3XPMhjB1qn++edCZwJcMwxx8y6XvWewcHBtkuYtV+OjwOwbM3aliuZmafTm79nSfvX5Ij/xcBvR8SrgGV0rv73EWB5RCwpo/4B4KbSfxI4GpiMiCXAEcDtXe1Tutd5UGZeAFwAMDQ09IgPBuo/IyMjbZcwa1M1j46OtlyJpFo1dow/M9+dmQOZuYbOyXlfzcw3A5cDp5Zuw8AXy/LF5T7l8a9mZpb208pZ/8cCa4FvN1W3JEn9rI2L8LwT+ExEnAtsATaU9g3A30TEBJ2R/mkAmXltRHwO2AbsAd6WmQ/Mf9mSJPW+eQn+zLwCuKIs/5hpzsrPzPuAN+xn/ffjBYMkSXrMGv06nyRJWlgMfkmSKmLwS5JUEYNfkqSKGPySJFXE4JckqSIGvyRJFWnjAj6SpB53C7DhkdOmLFi3ldsVrVYxO7cAyxvYrsEvSZqVXpy4aUeZIGv52t6YIAs6od/E79rglyTNihNk9TaP8UuSVBGDX5Kkihj8kiRVpOpj/KOjo0xMTLRdxqyMlxNUeu0Y2+DgYM/VLEn9qOrgn5iYYMs129h72FFtlzJj8cvO12eu+qdbWq5k5hbdc3vbJUiSiqqDH2DvYUdx33GvabuMvrZs2yVtlyBJKjzGL0lSRQx+SZIqYvBLklQRg1+SpIoY/JIkVcTglySpIga/JEkVMfglSaqIwS9JUkUMfkmSKmLwS5JUEYNfkqSKGPySJFXE4JckqSIGvyRJFTH4JUmqiMEvSVJFDH5Jkipi8EuSVBGDX5Kkihj8kiRVxOCXJKkiBr8kSRUx+CVJqojBL0lSRQx+SZIqYvBLklQRg1+SpIoY/JIkVcTglySpIga/JEkVMfglSaqIwS9JUkUMfkmSKmLwS5JUEYNfkqSKGPySJFXE4JckqSIGvyRJFVnSdgFtmpycZNE9d7Js2yVtl9LXFt1zG5OTe9ouQ5KEI35JkqpS9Yh/YGCAW+9fwn3HvabtUvrasm2XMDDwlLbLkCThiF+SpKoY/JIkVaSx4I+IoyPi8oi4LiKujYi3l/ajImJTRIyX2yNLe0TEaERMRMTVEfG8rm0Nl/7jETHcVM2SJPW7Jkf8e4B3ZOavAy8E3hYRxwHvAi7LzLXAZeU+wHpgbfl3JvBx6HxQAM4BXgCcAJwz9WFBkiTNTmPBn5k3Z+Z3y/JdwHXAauAUYKx0GwNeW5ZPAT6ZHd8ClkfEU4FXApsy8/bMvAPYBJzcVN2SJPWzeTnGHxFrgOOBK4EnZ+bN0PlwADypdFsN3Ni12mRp21/7vj/jzIjYHBGbd+zYMddPQZKkvtB48EfE4cDngf+cmT8/UNdp2vIA7Q9vyLwgM4cyc2jVqlWPrlhJkvpco8EfEUvphP6nM/MLpfnWsgufcvuz0j4JHN21+gBw0wHaJUnSLDV5Vn8AG4DrMvPPux66GJg6M38Y+GJX+++Us/tfCNxZDgV8BVgXEUeWk/rWlTZJkjRLTV6578XAvwOuiYitpe0PgD8FPhcRZwA3AG8oj30JeBUwAdwDvAUgM2+PiPcB3yn93puZtzdYtyRJfaux4M/Mf2T64/MAJ07TP4G37WdbFwIXzl11kiTVySv3SZJUEYNfkqSKGPySJFXE4JckqSIGvyRJFTH4JUmqiMEvSVJFDH5Jkipi8EuSVJEmL9nbExbdczvLtl3SdhkzFvd1JjjMZU9suZKZW3TP7cBT2i5DkkTlwT84ONh2CbM2Pn4XAGuf1ktB+pSe/F1LUj+qOvhHRkbaLmHWpmoeHR1tuRJJUi/yGL8kSRUx+CVJqojBL0lSRQx+SZIqYvBLklQRg1+SpIoY/JIkVcTglySpIga/JEkVMfglSaqIwS9JUkUMfkmSKlL1JD2S+s/o6CgTExNzvt3x8XGgucm9BgcHe3LiMPUeg1+SZuDQQw9tuwRpThj8kvqKo2bpwDzGL0lSRQx+SZIqYvBLklQRg1+SpIoY/JIkVcTglySpIga/JEkVMfglSaqIF/CR9tHUJV+h2cu+eslXSTNh8EvzyMu+SmqbwS/tw1GzpH7mMX5Jkipi8EuSVBF39UuSFoymTq71xNqHGPySpL7nibUPMfglSQtGL42ce5XH+CVJqojBL0lSRQx+SZIqYvBLklQRT+5riF9JkSQtRAZ/j/ErKZKkx8Lgb4gjZ0nSQuQxfkmSKmLwS5JUEYNfkqSKGPySJFXE4JckqSIGvyRJFTH4JUmqiMEvSVJFDH5JUt/buXMnZ511FrfddlvbpbSuZ4I/Ik6OiB9GxEREvKvteiRJvWNsbIyrr76asbGxtktpXU8Ef0QsBv4CWA8cB7wpIo5rtypJUi/YuXMnGzduJDPZuHFj9aP+ngh+4ARgIjN/nJm/BD4DnNJyTZKkHjA2NkZmArB3797qR/29EvyrgRu77k+WNkmSDmjTpk3s3r0bgN27d3PppZe2XFG7eiX4Y5q2fFiHiDMjYnNEbN6xY8c8lSVJWuhOOukkli5dCsDSpUtZt25dyxW1q1eCfxI4uuv+AHBTd4fMvCAzhzJzaNWqVfNanCRp4RoeHiaiM35ctGgRw8PDLVfUrl4J/u8AayPi2Ig4BDgNuLjlmiRJPWDlypWsX7+eiGD9+vWsWLGi7ZJataTtAmYiM/dExH8CvgIsBi7MzGtbLkuS1COGh4fZvn179aN9gJg607GfDA0N5ebNm9suQ5KkeRMRV2Xm0MH69cqufkmSNAcMfkmSKmLwS5JUEYNfkqSKGPySJFXE4JckqSIGvyRJFTH4JUmqiMEvSVJF+vLKfRGxA7i+7ToatBLY2XYRetR8/XqXr11v6/fX71cz86Cz1PVl8Pe7iNg8k8syamHy9etdvna9zdevw139kiRVxOCXJKkiBn9vuqDtAvSY+Pr1Ll+73ubrh8f4JUmqiiN+SZIqYvD3oIj47Yh4V9t1SP0qIkYi4rqI+PR+Hn95RFxSlk+PiI/Ob4Xan4j4UkQsP0if0yPiV+arpoVmSdsFaHYiYklmXgxc3HYtal9EBJ1DdnvbrqXP/EdgfWb+pO1CNDuZ+aoZdDsd+D5w00y3W/727nm0dS0kjvhbEhGPj4j/GxHfi4jvR8QbI2J7RHwgIr5d/g2Wvp+IiD+PiMuBD3SPMMpjoxHxjYj4cUScWtoXRcTHIuLaiLikfAo+tcWn3LMO8FqtLI8PRcQVZfl/RsRYRFxa+rwuIj4YEddExJcjYmnptz0i/jgivhkRmyPieRHxlYj4p4h4a9fP/m8R8Z2IuDoi/qi0rSmj0Y8B3wWOnvdfSh+LiL8Efg24OCLeWd5bW8rtM9qur3YR8fsRMVKWz4uIr5blEyPiU1Pvza73yf8pfwcvjYhDy9/BIeDTEbG1tD0/Iv4hIq4q78Onlm1eUd6n/wC8vbUnPccM/vacDNyUmb+Rmc8Gvlzaf56ZJwAfBT7S1f/pwCsy8x3TbOupwEuA1wB/WtpeB6wBngP8e+BFc/4M6rG/12p/nga8GjgF+BRweWY+B7i3tE+5MTNfBHwd+ARwKvBC4L0AEbEOWAucADwXeH5EvKys+wzgk5l5fGb281Uq511mvpXOSPA3gY8DL8vM44E/BP64zdoEwNeAl5blIeDw8oH6JXTeS93WAn+Rmc8CdgGvz8yLgM3AmzPzucAe4Hzg1Mx8PnAh8P6ubSzPzH+RmR9u7BnNM4O/PdcArygj/Jdm5p2l/W+7brvD+u8y84H9bOvvM3NvZm4DnlzaXlLW2ZuZtwCXz/UTqMj+Xqv92ZiZu8t6i3nog8I1dD6MTbm4q/3KzLwrM3cA95VjlOvKvy10RvbPpPOHDOD6zPzWY3xeOrgjgL+LiO8D5wHParkewVV0PgQ/Abgf+CadDwAv5ZHB/5PM3Nq13ppptvcM4NnApojYCrwHGOh6/LNzV/rC4DH+lmTmjyLi+cCrgD+JiEunHuru1rX8iwNs7v6u5djnVo/Rfl6rPTz0wXnZPqvcX9bbGxG786HvzO7l4e+5+7vau1/DqX4B/Elm/u/ujUfEGg78/0Fz53109tj8q/J7v6LVakRm7o6I7cBbgG8AV9PZO/M04Lp9une/rx4ADp1mkwFcW/a+Tafv3muO+FtSzii9JzM/BXwIeF556I1dt998DD/iH4HXl2P9TwZe/hi2VbX9vFbbgeeXLq9v6Ed/BfjdiDi81LE6Ip7U0M/S9I4AflqWT2+xDj3c14D/Wm6/DrwV2Nr1Iftg7gKeUJZ/CKyKiBcBRMTSiOjrPTuO+NvzHODPImIvsBv4D8BFwOMi4ko6H8re9Bi2/3ngRDpnrv4IuBI42C5qTW+61+pQYENE/AGd3+2cy8xLI+LXgW92Tt7nbuDf0hm5aH58EBiLiLOBr7ZdjB70deC/A9/MzF9ExH08cjf/gXwC+MuIuJfOIdVTgdGIOIJOLn4EuHZuS144vHLfAlJ2Xw1l5pxMGxkRh2fm3RGxAvg28OJyvF+SVClH/P3tknKS2CHA+wx9SZIjfkmSKuLJfZIkVcTglySpIga/JEkVMfglSaqIwS9JUkUMfkkP2s9MhPubuez3ysyB34uIz0fEYaX9DWXd70XE10rbsoj46zJL4ZaI+M3SfnpEfKHMXDgeER9s79lLdfDrfJIeFBGvB07OzN8r948ANgKnZOaOiHgj8MrM/N2IWJGZt5V+5wK3Zub5EXFN2cZPI2J5Zu6KiHcAz87Mt0TEM4FL6cw4eRqdWe+Op3Nd9R8CL8nMG+f5qUvV8AI+krpdA3woIj4AXALcwUMzl0FntsGbS99nl8BfDhxOZ24BgP8HfCIiPgd8obS9hM7Up2TmDyLiejrBD3DZ1IyHEbEN+FXA4JcaYvBLetC+MxECm9j/zGWfAF6bmd+LiNMpE0Fl5lsj4gXAq4GtEfFcDjxb5L4zqPl3SWqQx/glPWiamQhfwP5nLnsCcHNELAXe3LWNp2XmlZn5h8BO4Gg6s6i9uTz+dOAYOrv1Jc0zP1lL6jbdTIR7mH7msv9BZ2bC6+kcIpia5vTPImItnVH+ZcD3gB/QmQ3tmrK90zPz/nL4QNI88uQ+SZIq4q5+SZIqYvBLklQRg1+SpIoY/JIkVcTglySpIga/JEkVMfglSaqIwS9JUkX+Pyol3Q3SV1MJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 6))\n",
    "sns.boxplot(x='season', y='cnt', data=data)\n",
    "locs, labels = plt.xticks()\n",
    "plt.xticks(locs, ['spring', 'summer', 'fall', 'winter']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如上图：冬春季出租普遍较低，夏秋季比较高。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### month月份"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2315ce80>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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q/+GRNMzKrXl+FoDz6w7Io2c5UyppVnqxme5/AB4HzgA+dsjxZ4AHSjUlabjs3QJPrcpaa+6rLkyfd2qtZYFev4zWX3cQDfuaZ0maKUcN3Zn5GPAY8KqZaUfSsCk3U9rbi/X80fPrLz5adj2sJGnu6fdCyl8C/gA4E4jqV2bmKQV7kzQEnCmVJKn/Cyk/CvyLzFxTshlJkiRpGPUbup80cEtldLtdnt4OX7mr6U769/Q24EC36TYkSRoY/Ybu1RHxF8D/BnYfPJiZny/SlSRJkjRE+g3dpwDPAZcdciwBQ7c0Ta1WC457iksue/Gxs8VX7oLW2a2m25AkaWD0G7qPA96VmU8DRMTp/OAWgpIkSZKO4Lg+x/3kwcANkJnbgJeXaUmSJEkaLv2G7uOq2W0AImIR/c+SS5IkSXNav8H5Y8A/RMSt9NZyvwX4YLGuJEmSpCHS10x3Zn4G+FfAk8Bm4Jcy88/6eW1EHB8R34qI26vnL4mIeyPi0Yj4i4hYUB0/oXq+tvr+eYfUuLY6/khEvH5qpyhJkiQ1q+8lIpn5EPDQMfwe7wLW0NsBBXp3tvzjzLw5Iv4UeDswUX3dlpkXRMRV1bhfiYiXAlcBPwG0gL+JiB/JzP3H0IskSdKs1+122bljJx+798NNt9K39TseY2F3YdNtzFr9ruk+JhFxLvCLwCeq5wG8Dri1GnIj8Obq8fLqOdX3L63GLwduzszdmfldYC1wUcm+JUmSpDqVvhjyT4D3ACdXzxcDT2fmvur5BmCsejwGrAfIzH0Rsb0aPwbcc0jNQ18jSZI0dFqtFrsO7OHdr7y26Vb69rF7P8xIa0HTbcxaxUJ3RFwBbMrM+yLiNQcPH2Zovsj3jvaaQ3+/a4BrAJYuXTrlfiVJ0mDZvPUxPnfHdbXWfHrHEwCcdsrZtdaFXr+Lz7yg9roaDCVnul8NvCkiLgdG6K3p/hPgtIiYV812nwt0q/EbgCXAhoiYB5wKbD3k+EGHvuafZeb1wPUAy5Yte0EolyRJw6Pdbhep+/QzewBYfOb82msvPvOCYn1r9isWujPzWuBagGqm+z9n5q9GxOeAXwZuBq4GVlUvua16/rXq+3+bmRkRtwF/HhF/RO9CyguBr5fqW5IkzX4rVqwoUnflypUAjI+PF6mvuauJG9z8LnBzRFwHfAu4oTp+A/BnEbGW3gz3VQCZ+Z2IuIXezin7gHe4c4kkSZIGyYyE7sz8MvDl6nGHw+w+kpm7gCuP8PoP4s14JEmSNKCKbhkoSZIkydAtSZIkFdfEmm4VMDExQafTqb3u5OQk8P0LS+rUbreLXQgjzUZT+Xs61b97/n2SpNnN0D0kOp0Ojz70AEtOOb7WuvP3HQBg14bv1Fp3/Q6vhZWOZmRkpOkWJEk1MnQPkSWnHM/KV53YdBt9Gf/ac023IM04Z6Ilae5yTbckSZJUmKFbkiRJKszQLUmSJBVm6JYkSZIKM3RLkiRJhRm6JUmSpMIM3ZIkSVJhhm5JkiSpMG+OI0mSpBnV7XbZueMZPnTPp5pupS+P7XiChd2d06rhTLckSZJUmDPdkiRJs9D6Hev42L0frrXmpp1PAnDmwrNqrQu9fi/kgr7Gtlot9hzYzvsuflvtfZTwoXs+xYLWqdOqYeiWJEmaZdrtdpG6eyf3ADBy7oLaa1/IBcX6HgaGbkmSpFlmxYoVRequXLkSgPHx8SL1dWSu6ZYkSZIKc6ZbklSLiYkJOp1OX2MnJyeB78+6vZh2u11s5k+SZsKcCd1TeTOYiqm+cUyVbzQ93W6XHdvhli/tb7qVvmx6GnZlt+k2pFlrZGSk6RYkaUbNmdDd6XRY+9Aalp66qNa6C/YnAHs2PllrXYB127fWXlOSSnGCQJKObM6EboClpy7i/T93WdNt9O26r97VdAuzRqvVYiSe4i2vPb7pVvpyy5f2s+icVt/jt2+DrxT4cT/7TO/rSSfXW3f7NmidXW9NSZKG2ZwK3dJsVHJ7pcmdveVPrbPPr7Vu6+yyfUuSNGwM3VLDSn4k79ZQkiTNDm4ZKEmSJBVm6JYkSZIKM3RLkiRJhRm6JUmSpMIM3ZIkSVJhhm5JkiSpMEO3JEmSVJihW5IkSSrM0C1JkiQVZuiWJEmSCjN0S5IkSYUZuiVJkqTCDN2SJElSYYZuSZIkqTBDtyRJklSYoVuSJEkqbF7TDUjSQRMTE3Q6nb7GTk5OArBy5cq+67fbbVasWHFMvUmSNB2GbkkDaWRkpOkWJEnqm6Fb0qzhLLQkaVi5pluSJEkqzNAtSZIkFWboliRJkgozdEuSJEmFeSGlJEmSZty6HU/woXs+VWvNJ3duBeCshYtqrbtuxxNcwKnTqmHoHhLdbpedO/Yz/rXnmm6lL+t37Gdht9t0G5IkqQHtdrtI3T2TTwGw4NzpBeTnu4BTp92zoVuSJEkzqtQWsQdvmDY+Pl6k/nQYuodEq9Vi14FtrHzViU230pfxrz3HSKvVdBuSJEkzwgspJUmSpMIM3ZIkSVJhhm5JkiSpMEO3JEmSVJihW5IkSSrM0C1JkiQVZuiWJEmSCjN0S5IkSYUVuzlORCwBPgOcDRwArs/Mj0fEIuAvgPOA7wFvycxtERHAx4HLgeeA38jMb1a1rgbeX5W+LjNvLNW3Zq/NT8MtX9pfa82nn+19Pe2kWsuy+WlYdE69NSVJ0uAqeUfKfcC7M/ObEXEycF9E3A38BvDFzPxIRLwXeC/wu8AbgQurX68EJoBXViH9A8AyIKs6t2XmtoK9a5Zpt9tF6m6bnARg0Tnn11p30TnlepYkSYOnWOjOzMeBx6vHz0TEGmAMWA68php2I/BleqF7OfCZzEzgnog4LSLOqcbenZlbAarg/gbgplK9a/ZZsWJFkborV64EYHx8vEh9SZIkmKE13RFxHvBy4F7grCqQHwzmZ1bDxoD1h7xsQ3XsSMef/3tcExGrI2L15s2b6z4FSZIk6ZgVD90RcRLwl8BvZ+aOow09zLE8yvEfPJB5fWYuy8xlo6Ojx9asJEmSVEDJNd1ExHx6gfuzmfn56vCTEXFOZj5eLR/ZVB3fACw55OXnAt3q+Gued/zLU+2l2+2yc/t2rvvqXVN9aWMe276VhVHvhYOSJEmaecVmuqvdSG4A1mTmHx3yrduAq6vHVwOrDjn+69FzMbC9Wn5yJ3BZRJweEacDl1XHJEmSpIFQcqb71cCvAQ9GxP3VsfcBHwFuiYi3A+uAK6vv3UFvu8C19LYMfBtAZm6NiN8HvlGN+72DF1VORavVYk8ez/t/7rJjPZ8Zd91X72JB66ym25AkSdI0ldy95O84/HpsgEsPMz6Bdxyh1ieBT9bXnSRJOmhiYoJOp9P3+Mlqu9WDO0C9mHa7XWwXKmlQFF3TLUmShs/IyEjTLUgDx9AtSdIc5yy0VN6M7NMtSZIkzWWGbkmSJKkwQ7ckSZJUmKFbkiRJKswLKYfI+h37Gf/ac7XW3LTzAABnLqz3/2frd+znwlorSpIkzV6G7iHRbreL1N1b7cU6cu75tda9kHI9S5IkzTaG7iFRarungzc+GB8fL1JfkiRpLnBNtyRJklSYoVuSJEkqzOUlkiRJA2xiYoJOp9PX2MnqWq2Dy0dfTLvd9o6lNTF0S5IkzREjIyNNtzBnGbolSZIGmDPRg8E13ZIkSVJhhm5JkiSpMEO3JEmSVJihW5IkSSrM0C1JkiQVNqd2L1m3fSvXffWuWms+ufMZAM5aeHKtdaHX7wVjZ9VeV5IkSTNrzoTudrtdpO6eyWcBWFAgHF8wdlaxviVJkjRz5kzoLrWH5cE7Oo2PjxepL0mSpMHnmm5JkiSpMEO3JEmSVNicWV4iSdJ0TExM0Ol0+ho7OTkJfH8J4otpt9veylsacoZuSZJqNjIy0nQLkmYZQ7ckSX1wJlrSdBi65yA/IpUkSZpZhm4dlR+RSpIkTZ+hew5yJlqSJGlmuWWgJEmSVJihW5IkSSrM0C1JkiQVZuiWJEmSCjN0S5IkSYW5e4k0QKayxzq4z7okSbOFoVsaYu6zLknS7GDolgaIs9CSJA0m13RLkiRJhRm6JUmSpMIM3ZIkSVJhrunW0JnKDh/u7iFJkmaCoVtzmrt7SJKkmWDo1tBxJlqSJM02rumWJEmSCjN0S5IkSYUZuiVJkqTCXNN9GO5+IUmSNDsMSy4zdE+Tu19IkiTNDrM5lxm6D8OZaEmSpNlhWHKZa7olSZKkwgzdkiRJUmGGbkmSJKkwQ7ckSZJUmKFbkiRJKszQLUmSJBVm6JYkSZIKM3RLkiRJhRm6JUmSpMIGJnRHxBsi4pGIWBsR7226H0mSJKlfAxG6I+J44H8CbwReCrw1Il7abFeSJElSf+Y13UCfLgLWZmYHICJuBpYDDzXalSRJmvUmJibodDp9jZ2cnARg5cqVfddvt9usWLHimHrT3DEQM93AGLD+kOcbqmOSJEm1GRkZYWRkpOk2NIQGZaY7DnMsf2BAxDXANQBLly6diZ4kSdIAcBZas8GgzHRvAJYc8vxcoHvogMy8PjOXZeay0dHRGW1OkiRJOppBCd3fAC6MiJdExALgKuC2hnuSJEmS+jIQy0syc19E/CfgTuB44JOZ+Z2G25IkSZL6MhChGyAz7wDuaLoPSZIkaaoGZXmJJEmSNLAM3ZIkSVJhhm5JkiSpMEO3JEmSVJihW5IkSSrM0C1JkiQVZuiWJEmSCjN0S5IkSYUZuiVJkqTCIjOb7qF2EbEZeGwGf8szgKdm8PebaZ7fYBvm8xvmcwPPb9B5foNrmM8NPL+6/XBmjr7YoKEM3TMtIlZn5rKm+yjF8xtsw3x+w3xu4PkNOs9vcA3zuYHn1xSXl0iSJEmFGbolSZKkwgzd9bi+6QYK8/wG2zCf3zCfG3h+g87zG1zDfG7g+TXCNd2SJElSYc50S5IkSYUZuqchIj4ZEZsi4ttN91JCRCyJiC9FxJqI+E5EvKvpnuoSESMR8fWI+Mfq3P5b0z2VEBHHR8S3IuL2pnupW0R8LyIejIj7I2J10/3ULSJOi4hbI+Lh6u/gq5ruqS4R8aPVz+3grx0R8dtN91WXiPid6t+Vb0fETREx0nRPdYqId1Xn9p1h+Lkd7r08IhZFxN0R8Wj19fQme5yOI5zfldXP70BEzLpdPqbiCOc3Xv3b+UBE/FVEnNZkjwcZuqfn08Abmm6ioH3AuzPzx4GLgXdExEsb7qkuu4HXZeZPAT8NvCEiLm64pxLeBaxpuomCXpuZPz0bt4aqwceBL2TmjwE/xRD9HDPzkern9tPAzwDPAX/VcFu1iIgx4J3Assx8GXA8cFWzXdUnIl4G/HvgInp/Lq+IiAub7WraPs0L38vfC3wxMy8Evlg9H1Sf5oXn923gl4CvzHg39fs0Lzy/u4GXZeZPAv8PuHammzocQ/c0ZOZXgK1N91FKZj6emd+sHj9D701/rNmu6pE9z1ZP51e/huoCh4g4F/hF4BNN96KpiYhTgEuAGwAyc09mPt1sV8VcCkxm5kze0Ky0ecAPRcQ84ESg23A/dfpx4J7MfC4z9wH/F/iXDfc0LUd4L18O3Fg9vhF484w2VaPDnV9mrsnMRxpqqVZHOL+7qj+fAPcA5854Y4dh6FZfIuI84OXAvc12Up9q6cX9wCbg7swcmnOr/AnwHuBA040UksBdEXFfRFzTdDM1awObgU9Vy4M+ERELm26qkKuAm5puoi6ZuRH4Q2Ad8DiwPTPvararWn0buCQiFkfEicDlwJKGeyrhrMx8HHoTUMCZDfejY/dvgf/TdBNg6FYfIuIk4C+B387MHU33U5fM3F99vH0ucFH1selQiIgrgE2ZeV/TvRT06sx8BfBGekufLmm6oRrNA14BTGTmy4GdDPbH24cVEQuANwGfa7qXulRrf5cDLwFawMKI+DfNdlWfzFwD/AG9j++/APwjvaWI0qwTEf+F3p/PzzbdCxi69SIiYj69wP3ZzPx80/2UUH1s/2WGa33+q4E3RcT3gJuB10XE/2q2pXplZrf6uoneeuCLmu2oVhuADYd8+nIrvRA+bN4IfDMzn2y6kRr9PPDdzNycmXuBzwM/23BPtcrMGzLzFZl5Cb2P9R9tuqcCnoyIcwCqr5sa7kdTFBGiXGlGAAAC6UlEQVRXA1cAv5qzZH9sQ7eOKCKC3prSNZn5R033U6eIGD14NXNE/BC9N8qHm+2qPpl5bWaem5nn0fv4/m8zc2hm2yJiYUScfPAxcBm9j72HQmY+AayPiB+tDl0KPNRgS6W8lSFaWlJZB1wcESdW/4ZeyhBdBAsQEWdWX5fSuxhv2H6GALcBV1ePrwZWNdiLpigi3gD8LvCmzHyu6X4Omtd0A4MsIm4CXgOcEREbgA9k5g3NdlWrVwO/BjxYrX0GeF9m3tFgT3U5B7gxIo6n95/PWzJz6LbVG2JnAX/VyzTMA/48M7/QbEu1+y3gs9USjA7wtob7qVW1HvgXgP/QdC91ysx7I+JW4Jv0Ptb+FrP07njT8JcRsRjYC7wjM7c13dB0HO69HPgIcEtEvJ3ef6SubK7D6TnC+W0F/gcwCvx1RNyfma9vrstjd4TzuxY4Abi7ep+4JzP/Y2NNVrwjpSRJklSYy0skSZKkwgzdkiRJUmGGbkmSJKkwQ7ckSZJUmKFbkiRJKszQLUl6gYg4LSJ+85Dnr4kIt9WUpGNk6JYkHc5pwG++6ChJUl8M3ZI0pCLivIh4OCI+ERHfjojPRsTPR8TfR8SjEXFRRPzXiPhkRHw5IjoR8c7q5R8Bzo+I+yNivDp2UkTcWtX8bHXHRUlSH7w5jiQNqYg4D1gLvBz4DvAN4B+BtwNvoneXy/uBy4DXAicDjwBnA2PA7Zn5sqrWa+jdCvsngC7w98DKzPy7mTofSRpkznRL0nD7bmY+mJkH6AXvL2ZvtuVB4LxqzF9n5u7MfArYBJx1hFpfz8wNVa37D3m9JOlFGLolabjtPuTxgUOeHwDmHWbM/kOOH63W0cZJkp7H0C1JOpxn6C03kSTVwNAtSXqBzNwC/H11Aeb4i75AknRUXkgpSZIkFeZMtyRJklSYoVuSJEkqzNAtSZIkFWboliRJkgozdEuSJEmFGbolSZKkwgzdkiRJUmGGbkmSJKmw/w/brW7HiSatPQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "sns.boxplot(x='mnth', y='cnt', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如上图：可以看出跟季节一样的结论，人们倾向于在夏季和秋季骑自行车，但我们也看到月份间数据有很大差异。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### workingday是否工作日"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mzZvHLTffxJJFX/PHtrU8flYlTZMjb8pf52w/z/UuZ0COk+nTp3PnwDv48ccfTccSmOsysAHJSikbkALsBi4CPgjdXgxcG7p8Teg6odsvVkqp0PF3tdYerfU2YDPQMFvniZO2d+9exowZSzA9F1+zzqbjHJdOysTVoojly5fx8ccfm44jxGnZt28fTzzxOH//+99pZq1maO8Krmrlxhp5DXOHpSZoBnaq5aFu1VTuKeHuu+9mwoQJeDwe09HiWtjfMlrrMmAksIO6QqAKWAlUaq0PDX8tBVqELrcAdobu6w+d3/jI40e5jzAgGAwyfPjzuL2+uq6CMOxV8Ev5cjoSyGjOq6+Oo6yszHQcIU5aIBDgww8/5Jabb2L5kkXc0K6WJ3pW0jw18loFjqVHEx/DepdzdjMnb7/9NrfecjMrV640HStumegyaETdX/etgeZAKnDFUU491IZ7tKUz9HGOH+05ByqlViilVkh/ccP517/+VbetcX4ftD3ddJyToxSuwnPwBjTDnnuOQCBgOpEQJ7R161buu3cQY8aMoU2yg2F9KriywI2lHpYgDrfUBM0dHWt5tEcVgardDB48mOeee06mBRtg4k+4XwHbtNb7tdY+4J/AACAr1IUA0BLYFbpcCuQDhG7PBMqPPH6U+/yE1nqC1rpIa13UtKmhlfJiXGlpKeNfew1/Zkt8TTqYjnNKtD0NZ35f1v7wAx988MGJ7yCEIR6Ph4kTJ3LHHbezc8sG7urk4JHu1eRE4FiBU9Up28+zvcv5dSsn8+Z8xs03/Yk5c+bI+J4wMlEQ7AD6KaVSQmMBLgbWAV8A14fOuRn4KHR5Zug6ods/13XvkJnADaFZCK2B9sCyML0GcYRAIMCzw4bh1wp34TnUy04pYeZv3BZ/owImTpzE9u3bTccR4mdWrlzJrbfczFtvvUX/pk6G9ylnQK43Gn/cjinRCr9v6+KZ3pU0VZUMGzaMhwcPlu68MDExhmApdYMDvwW+D2WYAPwVeEgptZm6MQKTQ3eZDDQOHX8IeDT0OGuB96grJmYDg7TW0t5rwPvvv8/6detw5vdDJ57cJigRRyncrc4moGx1xY0/PKu5CXEilZV1vxgHDx5MoGo3j/aoYmCnWtITY/cv5/y0AE/0rOSmDjWs+/5bbr3lFt566y35uWxgKt6aY4qKivSKFStMx4gZ27dv5/bb78Cd3hxX24sarHUgecO/AXCdeWWDPP4htvJtJG/5gttuu40//elPDfpcQhyP1prPP/+csWNeosbh4KoCJ78pdJEY5snVw77NAOCxntXhfeKQco+FNzemsmJ/Im3btOavj/6NDh2iq1vSNKXUSq110YnOi/xh4CJi+f1+nh02jICy4m41ICq7Cv6bP7s1vuzWTJ06lS1btpiOI+LUwYMHefKJJxg6dCiNqWRo70qubxv+YiASZNuD/KWrg/u7VnNw1zbuuusuJk2aJAsaNQApCMRp+8c//sGmjRtxFvRHJySbjlNvPAX9CVoTGTbsOWmiFGGltWb27NncfNOfWLrkG25oV8uTPStpmSa9ob2a+niudzln5zh58803ueO2P7Nu3TrTsWKKFATitGzbto0pb7yBr1Eh/uzWpuPUK52QhDO/P1u2bObtt982HUfECYfDwZAhTzF8+HCaJ1Tz9951UwkjeYGhcEtN0NzRqZaHu1dTc6CUe++9l2nTpsl04XoibzVxyvx+P88NH05QJeBp1d90nAbhzy7El92a4uJitm7dajqOiHFr1qzhtj/fytcLFvCHtrU8dlYVeQZ2JowW3Rr7eLZ3OX2aupgyZQoPPfgg+/btMx0r6klBIE7ZBx98wMYff8SZ3zemugr+m6egH0FLAsOff166DkSDCAaDFBcX88D990Ptfp7oVcXVraJzgaFwS7Fp7u5Uwx0da9iwrq6g+uabb0zHimpSEIhTsnPnTiZPnow/qyDmugr+m05Ixpnfj40//igLFol653K5eOqpp3jjjTfol+NmaFE5bTOk8DwVSsG5eR6GFlXQxFLN448/zltvvSWLGZ0mKQjESQsGg7wwYgR+bYmZWQUn4s9ujT+rgMmTJ1NaWmo6jogRBw4c4P6/3MfXCxdyY7ta7uxUQ7LtxPcTR5ebEuTxsyrpl1O3kuPzzz+Pz+czHSvqSEEgTtqnn37K92vW4GrZO3oXIDpVSuFuNQC/tjBi5Ej5y0P8Ytu3b+euOweyY9sWHuhWzeUF7niorRtcohXu7lzDtYVOZs+ezeDBD+F0Ok3HiipSEIiTcuDAAcaNG08gozm+Ju1NxwkrnZiCq0UvVn/3HbNmzTIdR0SxXbt2MfjBB/DXlvNEzwrOaiJ/xdYnpeB3bVzc1cnBD99/z2N/+5tsqXwKpCAQJ2XMmDG4PV5ccdJV8N98Tc8gmJ7LK6++Snl5uek4Igrt37+fwQ8+gKe2kv/tVkmBrC3QYAbkehnY0cHq1at5esgQGRR8kqQgECe0aNEiFi5ciDuvOzopw3QcM5TC2epsnC43r776quk0Isq43W4eeXgwFQf383A3WWgoHAbkermpQw2LFi9m1KhRpuNEBSkIxHE5nU5eHD0anZKNN7er6ThG6eRMPLldmT9/PsuXLzcdR0SRSZMmsb1kB/d1rqJNhhQD4XJxSw+/buVk1qxZfP3116bjRDwpCMRxFRcXc2D/fpwF/cEibxdvXjdIzmTUiy9K36Q4KatXr2bGjA/4VUsXXRvLmIFw+21rF63Sg4waOYKqqirTcSKafMKLY9q6dSvvv/8+3iYdCKY3Mx0nMlhsOAv6s2f3blnWWJxQMBhk5IgXaJqs+WNbGfFugs0Cd5xZTXV1FRMmTDAdJ6JJQSCOSmvN6NEvoa2JeFuecNfMuBLIaI4vuzVvvfU2ZWVlpuOICLZ8+XJ2lpZxfesa7HG4U2GkKEgPcF6um3lz5+BwOEzHiVhSEIijmjt3Lt9/vwZXi17ohCTTcSKOJ78vARRjxo41HUVEsJkzPyLDDkVNZate0y5s4cbj9fHZZ5+ZjhKxpCAQP+N0Ohk3/jWCqU3xNelgOk5E0okpuPJ6sGzpUhYvXmw6johANTU1LF60mHOaubDJJ61xhekB2mQEmDt3jukoEUvepuJnpk+fTmVFOa6CvnG55sDJ8uV0hOQsxo59Ga9X/gIUP7V9+3aCWnNGlgwkjBQdMr1s27pNtks+BikIxE+Ulpby3nvv4WvSnmBajuk4kc1ixZnfl927d8nmR+Jntm3bBkDLVPnlEylapgbw+nzs3r3bdJSIJAWB+Inx48cTxIKnRS/TUaJCILMF/qx8pk2fTkVFhek4IoLs2bMHi4LGSUHTUURITnJdcbZnzx7DSSKTFATisFWrVvHNN9/gzu0WP5sX1QN3yz643R7eeOMN01FEBLFarWgN0ukWeaxWmfJxNFIQCKBuvvSrr44Dexre3M6m40QVnZyJt+mZfPzxx4ebiYWw2WxoICAbZEYMX7CuPLPZZK/po5GCQADwxRdfsHnzJlzNe4JFflhOladFD7AmysIn4rD09HQAHD5pI4gUh/4v0tLSDCeJTFIQCLxeL69PmIhObYy/cVvTcaKTLQl3bhcWL17MmjVrTKcREaCgoACAXbXSPB0pdtVasVgstGzZ0nSUiCQFgeCTTz5h3949uFr0kmmGv4A3pzPYUxk3fjxaSztxvCssLASgrFZa3CJFmdNKi+a5JCQkmI4SkaQgiHMul4upxdMIpOcRyGhhOk50s9pw53Znw/r1sliRIDs7m+ysTLZWS0EQCbSGrQ477TucaTpKxJKCIM7985//pLqqEneLntI6UA98TTpAUgYTJ00iGJTpZvFMKUW3HmexocqONBiZt89locIN3bt3Nx0lYklBEMdqa2t5++138Ge2lN0M64vFgiuvB9u2bmXBggWm0wjDunfvTrkb9rvlo9a0DZV13QRSEBybvEvj2IwZM6itrcHToqfpKDHF37gNJGfxxtSp0koQ53r2rPvZWlsufdamra1IILtRJq1atTIdJWJJQRCnampq+Mc/3sOfVUAwtYnpOLFFWXDldadk+3ZpJYhzBQUFNGmczdoKKQhMCmpYV2mnV1EflHSNHpMUBHHqww8/rGsdaN7DdJSY5M9uDclZTJ1aLK0EcUwpRVHvPqyrtBOUcQTGlNZYqfZAr16yJPvxSEEQh5xOJ/947726sQPSOtAwlAVXbje2b9/GokWLTKcRBnXv3p0ar6xHYNKh8QM9esgfQMcjBUEcmjlzJjUOh7QONDB/4zaQlEFxcbGsSxDHDg1i+7FSph+asrHKRk7TJuTm5pqOEtGkIIgzHo+Hd959l0BGc9neuKEpC+7cbmzatIlly5aZTiMMycvLo3GjLDZXyzgCUzY77HTtJrMLTkQKgjgza9Ysqior8eTJD0c4+Bq3BXsa06ZPNx1FGKKUok279pTWSkFgQq1PUe6Ctm1lWfYTkYIgjvj9ft56+22CaTkE0qXpLCwsVtzNurD2hx9YvXq16TTCkNatW7PLaZGBhQbsctaN3WjdurXhJJFPCoI4MnfuXPbv24c7r7usShhGvqYdUInJ0koQx/Lz8/EFoNIjH7nhts9Z9z2XDY1OTN6dcSIQCDD9zTfRqY0JZMoPRlhZbLhzOrNyxQo2bNhgOo0w4NBWyE6/FOLhVuuv+zWXkZFhOEnkk4IgTnz11VfsKivDndtNWgcM8OacibLZmS6tBHEpLS0NgFopCMLuUBGWmppqOEnkk4IgDgSDQaZNmw7JWfgbybKdRlgTced05JtvvmHLli2m04gws1jqPmplDEH4HfqeywqFJyYFQRz4+uuv2b59G6687qDkv9wUb7POKFsi06ZNMx1FhJnD4QAgNUEqgnA79D2vra01nCTyyW+HGKe1ZmpxMSRn1i2nK8yx2XE37chXCxawbds202lEGB0uCGxSEIRbqq1u6fDq6mrDSSKfFAQxbuHChWzdsgVXbjdpHYgA3tzOKIuNN96YajqKCKNt27aRaIWsRNnXItxykuu+59u3bzcbJArIb4gYFggEmDR5ct3YgcayKEdEsCXhbtaZBQu+YtOmTabTiDBZv24thel+rPKJG3aF6X6sCtavX286SsQz8vZUSmUppT5QSm1QSq1XSvVXSmUrpeYqpTaFvjYKnauUUmOVUpuVUmuUUj2PeJybQ+dvUkrdbOK1RLIvvviCHSUluPJ6SOtABKkbS2Bn8uTJpqOIMHC5XGzavJm26T7TUeJSohXy04N8v2aN6SgRz9RviTHAbK31mUB3YD3wKDBfa90emB+6DnAF0D70byAwHkAplQ08BfQF+gBPHSoiBPh8PiZOmoROyZaxA5HGZsfdrAtLlixhjXxIxbyFCxfi8/k5q4nXdJS41SPbzfc/fM++fftMR4loYS8IlFIZwHnAZACttVdrXQlcAxSHTisGrg1dvgaYpussAbKUUnnAZcBcrXW51roCmAtcHsaXEtFmzpzJ3j17cLUsknUHIpC3WWeUPZVx48fLTogx7rPZs2marOmQ5TcdJW6dk+dBa5gzZ47pKBHNRAtBG2A/8IZSapVSapJSKhVoprXeDRD6emgrvhbAziPuXxo6dqzjca+mpoapxcUEMvIIZMi3JCJZbbjyerBh/XoWLFhgOo1oICUlJXy76lvObubCEoV1+ZsbUyhxWClxWBn2bQZvbkwxHem05CQHOSPLz8czP8Lnk66bYzFRENiAnsB4rfVZQC3/6R44mqP9GOnjHP/5Ayg1UCm1Qim1Yv/+/aeaN+pMnz4dR3U17pa9pXUggvmatEenNGLc+PF4vdKcHIsmTZpEkhV+1dJtOspp2VFjwxWw4ApY2FCZwI4am+lIp+3XrZzs3befjz/+2HSUiGWiICgFSrXWS0PXP6CuQNgb6gog9HXfEefnH3H/lsCu4xz/Ga31BK11kda6qGnTpvX2QiJRaWkpH3zwAb4m7QmmNjEdp17YdyzB6jyI1XmQ5A3/xr5jielI9UNZcLXsw949e/jggw9MpxH1bP369SxcuJAr8p1kJEq3kGlds310bORnWvFUnE6n6TgRKewFgdZ6D7BTKXVG6NDFwDpgJnBopsDNwEehyzOBm0KzDfoBVaEuhc+AS5VnIdTiAAAgAElEQVRSjUKDCS8NHYtr48aNI4gFT8tepqPUG4uzHBXwoQI+bI49WJzlpiPVm0BmC/xZBRRPm8bBgwdNxxH1xOfzMWrUSDLscFm+y3QcQV1j6R/a1FJZVc3EiRNNx4lIpmYZ3Ae8pZRaA/QAhgHDgUuUUpuAS0LXAf4NbAU2AxOBewC01uXAUGB56N8zoWNxa/HixSxatAh3Xnd0QnT29cUjd35vPF4f48ePNx1F1JPi4mI2b97CrR2qSY7eVvaY0zbTz6UtXXz44YesWLHCdJyIY6Qg0Fp/F2rC76a1vlZrXaG1Pqi1vlhr3T70tTx0rtZaD9Jat9Vad9VarzjicaZorduF/r1h4rVECo/Hw0svjUEnZ+Ft1tl0HHEKdFImnmZdmDdvHt99953pOOIX+v7773n7rbc4N89Nr6YygC3S/KGtk+apmueGPUtVVZXpOBFFVquJEW+//TZ79+7BVdAPLFbTccQp8uZ1h6R0Rr04WkZBR7E9e/bwf08+QZPkIP+vvfRTR6JEK9zZsYqqygr+78kn5eftCFIQxICSkhLefOstfNltCGQ0Nx1HnA6rDWd+X3buKOG9994znUachtraWh579K94aqt4sGsVybKRUcRqnRHg9jMdrF6zhlGjRslaICFSEEQ5rTWjRr1IECuegr6m44hfIJBVgL9RK6ZOncquXUedMCMilNfr5ekhQygpKeG+zlW0SA2YjiROYECul9+2djJ79mymT59uOk5EkIIgys2ePZs1a1bjalmETkg2HUf8Qu6Cfvi1YtSLL8pfLVHC6/Uy5KmnWLZ8ObecUUPnbFmRMFpcW+ji7Fw3U6ZM4e233zYdxzgpCKJYRUUFr7w6jmB6M3xNOpiOI+qBTkzF1bwnK1esYN68eabjiBPw+XwMeeopFi1ezC1n1HB+c4/pSOIUKAV3dKylfzMPEyZMiPuiQAqCKPbqq69S66zF1epsWZEwhvhyziSYlsPYl1+WUdARzOVy8cQTj7No8WJu7lDDRS2kGIhGFgUDO9bQL1QUTJ06NW5b56QgiFLLly9n3rx5eHK7EUzOMh1H1CdlwdVqAA5HjaxNEKEqKip44IH7WbZsGbeeUcPFLaUYiGZWC9zZsYZzct1MnTqVkSNH4vfHX9ePFARRyO12M2LkKEjOxJvXzXQc0QCCKdl4mnVh9uzZrFq1ynQccYTS0lIG3XM32zZv4v4u1VwoLQMxwWqp6z74TSsnn376KU888TguV3ytMikFQRSaPn06+/buwVkwACyyDFqs8jbvAUnpjBw1SjY/ihCrVq3inrvvwnFwD4/2qKSnLDwUU5SC69u6uOWMGpYuXcp9993L3r17TccKGykIokxJSQnvvPsuvsbtCGTkmY4jGpLVhrOgP2Wlpbz77rum08Q1rTUzZsxg8ODBpAUdPNmzgnaZ8dekHC8uauHhoa7VlJVs4c47bmf16tWmI4WFFARRRGtdtzyxsuHJ7206jgiDQGZLfI0Kmf7mm+zZs8d0nLjk8Xh4/vnnefnll+me7eapXhXkpgRNxxINrHsTH0N6VpAcqOahhx7kww8/jPnBhlIQRJGvvvqKVau+xdX8LFlzII548vvgDwQZN26c6Shxp6ysjEGD7mH27NlcW+jk/q4OWYEwjuSlBnmqVwVdG7kZM2YMzz77bExvnSwFQZTweDy8Om4cOiUbX86ZpuOIMNL2NNy53ViwYIEMMAyjhQsXMvCO29ldsoUHu1XzuzYuLDK7N+6k2DQPdHVwXWsn8+fP4647B7J9+3bTsRqEFARR4qOPPmL/vn24WvYGJf9t8cab2wXsabz22usx32xpms/nY9y4cTz55JM0s9XwTFEFZzWRwYPxzKLgmtYu/tq9isp9pdx550DmzJljOla9k98sUcDhcFA8bTqBzBYEMluYjiNMsNhw5fXgxx838NVXX5lOE7N27drFffcO4r333uNXLV083rOSpskyXkDU6ZTt5+9F5RQmOxk2bBjDhw+PqamJUhBEgRkzZlBb48DdopfpKMIgf5N26JRGTJ48hWBQfknVty+//JLbb/szO7Zu5L4uDm7q4CRBPiHFf8myax7tUcU1hU4+mz2bOwfewZYtW0zHqhfydo9wLpeLD2bMwJ+VTzC1iek4wiRlwZ3bjZ07d7B48WLTaWKGx+PhxRdfZMiQITRPrGVoUQW9c2TdB3FsVgtc18bFX3tUUb2vlLvuupOPPvoo6rvzpCCIcLNmzaLG4cCbKysSCvBnt4akdN58662o//CJBCUlJdx9153MnDmTqwpcPHaWdBGIk9cp28/fe5fTMcPF6NGjefrpp6mpqTEd67RJQRDBtNZ8MGMGwbQcAunNTMcRkUBZcOd0Zv26dWzcuNF0mqg2Z84c7hx4B/vLtvNw92r+2M6JTT4RxSnKSNQ81K2aP7StZcFXX3LH7bexYcMG07FOi7z9I9i6devYVVaGR7Y2FkfwNW6Lslj57LPPTEeJSocWGho2bBitkp0M7V1Bt8Yyi0CcPouCq1u5ebxnFd6qvdw7aBD//Oc/o64VTwqCCDZ79myUNaGumViIQ2x2vFkFfDZnruxxcIp2797NoEH3MGvWLH7TysmjParItksXgagf7TP9PFNUTucsF2PHjmXYsGG43W7TsU6aFAQRKhgM8uWXX+HNzAdrguk4IsL4GreltsbBmjVrTEeJGkuXLmXgHbezK7TQ0PVtXVjlE1DUs/QEzYPdHPyutZN5c+dyz913UVpaajrWSZEfhwi1ZcsWHI5q/JktTUcRESiQngcWCytWrDAdJeJprXn33Xd59NG/kqUcPN1LFhoSDcui4NrWLgZ3r2Zv6XbuunMg3377relYJyQFQYQ69EEfyGhuOImISNYEAqk5LFu+3HSSiOb3+xk9ejSvvfYaRU08/F/PCprJxkQiTLo19vFMUQWZqob/feSRiB/3IwVBhFq/fj0kZ6ITU0xHERHKn57Ltq1b8Xg8pqNEJKfTyeOPP3Z4SuGgLjXYraZTiXjTNDnIE2dV0iHDw3PPPcfUqVMjdrChFAQRatv27fjsmaZjiAgWTMpCa01ZWZnpKBHH6XTyyMMPs2zZMm45o4Y/tnPKxkTCmNQEzcPdqzg3183UqVN55ZVXIrIokIIgAvn9fnbt2kUwSQoCcWzB5Lr3x44dOwwniSxut5u/Pfoo69ev497ODi5qIS0owjybBW7vWMtl+S5mzJjBhAkTIq4osJkOIH7O4XAQ8PvRiammo4gIFkxMA+DAgQOGk0QOj8fDE48/xpo1a7irk0OWIBYRRSm4sZ0TX1DxzjvvkJiYyK233mo61mHSQhCBDs1b1TLdUByPpa6ej6Z5zg3t1VdfZcXKb7m9Yw39c6UYEJFHKbipQy3n5rkpLi7miy++MB3psJMqCJRS95/MMVE/Dm+naZEGHHEcygIoKQhCvvzyS2bOnMmVBS7OzZNuAhG5LApuPaOWdpkBRrzwPLt27TIdCTj5FoKbj3LslnrMIY5gtYaGQkdY/5KIRBqlZLTcnj17GPHC87TJCHB9G6fpOEKckM0Cd3eqBr+bp58egt/vNx3p+AWBUup/lFIfA62VUjOP+PcFcDA8EeNPWlpd37AKSJOnOI5A3eI66enphoOYV1xcjM/jZlDnatmgSESNpslBbung4McfN/L555+bjnPCQYWLgN1AE2DUEccdgKyZ2kAOFwR+afYUx6YCde+PQ++XeHXgwAHmzpnDBbku2bq4nrn8iqSkJK6++mo++eQTXBHwV2ys6ZPj5aOSIO++8zaXXHKJ0Ra/4xYEWusSoAToH544AsBut5Oalo7XG737aouGZ/HUvT+aNm1qOIlZM2bMIBAMcHmBy3SUmOP0K66++mruvfdetNYs+PQ905FijkXBlflOJq7fzvLly+nTp4+5LCdzklLqd0qpTUqpKqVUtVLKoZSqbuhw8aywVSus7krTMUQEs4TeH61atTKcxKxvV67gzEwfOdI6UO9SbJpPPvmEl19+mU8//ZQUm4xragj9m3mwWTC+38HJ9ra9APxGa52ptc7QWqdrrTMaMli8Kyxshc1dJQMLAQJekpKSuP7660lKSgIZWwGAxVWJPSkprlsItNbs2LGDlmnSlN0Qkm0at9vNjBkzcLvdJEtB0CBsFshNCVJSUmI0x8kWBHu11usbNIn4iQ4dOqB9bpTHYTqKccrvPdxsedVVV6H8UhAA2Gr306FDh7ieZXDgwAFcbg95KQHTUYT4RfKSfewo2W40w8lOdF+hlPoH8C/g8Eg3rfU/GySVoFu3bgBYHXvwJ8V3Y4y2JfLJJ5+gtebTTz9F22TDJwI+LM6DdO92uekkRiUlJQHgDcZvUSRigzeoDr+fTTnZgiADcAKXHnFMA1IQNJBWrVqRlp6Oz7EHf9MOpuOYZU3E7SxnxowZddfTs8zmiQDWmn2g9eHCMV6lp6eTlZHO7lpZnElEt92uRDp3KzSa4WS7DCzAg1rrW7XWtwIPNWAmAVgsFnoXFZHo2CXjCMTP2Cp3kpCQEPcFAUBBq0K218gy3yJ61fgU+12Qn59vNMfJFgTdtNaHh7xrrSuAsxomkjhkwIABaK8TS61sXiOOoDWJ1aX06tXLeBNjJLjgwgspcVjZWClLfYvoNL80Ca3hggsuMJrjpFsIlFKNDl1RSmUjOyU2uD59+qCUwlZpduSpiCwWVyW4q+nfX5YHAbjiiivISE/j0x3JpqMIccq8AZi7K4W+ffvQpk0bo1lOtiAYBSxSSg1VSj1D3QqGLzRcLAGQmZnJWWf1xF5ZIt0G4jBbxTaUUpxzzjmmo0SE5ORkfnfd9aw6kMj3B6XrQESXj7YnU+2B//mfG01HObmCQGs9DbgO2AvsB36ntZ7ekMFEnYsuuhBcVVicsnWEALTGXrGNHmedRePGjU2niRg33HADrQtb8fqGDCo8MuNARIc1BxP4pCSFq666ih49epiOc9ItBGit12mtX9Fav6y1XteQocR/nHfeeVitVhIObjEdRUQAi/MguKq4+KKLTEeJKElJSQx5+hm8JDJubQZ+WbRQRLhyj4UJGzJoXVjIX/7yF9NxgFMoCOqbUsqqlFqllPokdL21UmppaInkfyilEkPH7aHrm0O3Fx7xGH8LHf9RKXWZmVfSsDIyMujXrx+JFdtAy6dcvEs4sBmbLYHzzz/fdJSI06pVKwY//Ag/VtoYvzZdigIRsSo8iuHfZeFTdp56+mnsdrvpSIDBggC4Hzhy9cPngdFa6/ZABXBb6PhtQIXWuh0wOnQeSqlOwA1AZ+ByYJxSyhqm7GF1+eWXg9eJtarMdBRhUjCAvWIr55xztmx5fAyXXHIJgwYNYvn+RMZJUSAiUIVH8dx3jagKJPHCiJERtReJkYJAKdUSuAqYFLqugIuAD0KnFAPXhi5fE7pO6PaLQ+dfA7yrtfZorbcBmwFz20Q1oH79+pGWnk7Cgc2mowiDbFWlaJ+byy6LycawevP73/+e++67jxX7E3nlh3Q8sqqxiBD7XRae+64R1cFkRowcRdeuXU1H+glTLQQvAf8LHKrfGwOVWutDO5SUAi1Cl1sAOwFCt1eFzj98/Cj3iSkJCQlcdumlJFTtAL/nxHcQMSnhwEayGjWid+/epqNEvOuuu47777+fVQcTeXZVIw66TTaGCgEbKmwMWdkIh07hhREj6dKli+lIPxP2nxKl1NXAPq31yiMPH+VUfYLbjnef/37OgUqpFUqpFfv37z+lvJHiiiuugGBABhfGKeV1Yqsq5YrLL8dmkyVATsZvf/tbnn12GPt8KQxZ2YhNVfJ9E2Z8Xmbn+e8yycppwWuvT4jIYgDMtBCcDfxGKbUdeJe6roKXgCyl1KGf2JbArtDlUiAfIHR7JlB+5PGj3OcntNYTtNZFWuuiaN0qtl27drRt1x77wU2mowgDEg5uBq3rxpOIkzZgwADGjX+N1OxcnluVyfxSuyzpIcLGE4ApG1KZ+mMaRb17M/61140vT3w8YS8ItNZ/01q31FoXUjco8HOt9f8HfAFcHzrtZuCj0OWZoeuEbv9ca61Dx28IzUJoDbQHloXpZRhx9VVXomoPYqmVNQniitbYD26mU+fOETUAKVoUFhby2usT6NmrN8Ub0xj7fToOn6xVIBrWjhorQ1Y24stdSdx4440Me244aWlppmMdVyR1rP0VeEgptZm6MQKTQ8cnA41Dxx8CHgXQWq8F3gPWAbOBQVrrmB4+dPHFF2OzJZBwQFoJ4omldj+4Krn6qqtMR4laGRkZDH/+ee655x5WVyTzxPJs1lVIF4Kof1rDnJ1JPL0iC1dCNiNHjmTgwIFYrZE/Cc5oQaC1/lJrfXXo8latdR+tdTut9e+11p7QcXfoervQ7VuPuP+zWuu2WusztNazTL2OcMnIyODcc8/BXrEFgjFd+4gjJOzfiN2eZHzjk2hnsVj4wx/+wLjx40lt3JznV2XyzuYUvPKjJOpJudvCqDUZvLkplV59+jLljakUFRWZjnXSIqmFQJyEK6+8Eu3zYKvcYTqKCIeAD3vldi688AJSUlJMp4kJHTp0YOKkyVz9618za0cyT67IZrMMOBS/gNawYJedx5Y34seaVP7yl7/w3HPDycrKMh3tlEhBEGV69uxJ48ZNpNsgTtgqtqP93rpZJqLeJCcnM3jwYEaOHIk/uQlDv83kXWktEKeh3GPhxTUZTNqQRrszuzBlyhv87ne/o265nOgiBUGUsVqtXHHF5diqy1Bep+k4ooElHtxMs9xcunXrZjpKTCoqKmJq8TSuvPIq/h1qLfixUloLxIlpDV/usvPYskZscKRw77338tKYsbRoEb3L4UhBEIUuu+wy0BqbrEkQ05SnBmv1bq684oqo/GsjWqSmpvLII48wYsQIdGoOz36bybQfU3H5T3xfEZ/2Oi08/10mUzak0b5jNyZPeYPrr78eiyW6f6VGd/o4lZ+fz5kdO2Iv34JMqo5dhxahuuSSSwwniQ+9e/dmytRirrvuOubvSuKx5Y1ZfTDBdCwRQYIaZu1I4vHljdjuTmPw4MGMfuklWrZsaTpavZCCIEpdcfnlKGc5Fle56SiiIWiNvXwLXbp0oXnz5qbTxI2UlBTuu+8+XnnlVdKatGTU6gxeX5cm6xYISmusPLMyi3c2p1LUpz9Ti6fx61//OupbBY4UO68kzlxwwQVYrFYSDki3QSyyOA+Cq1I2MjKkc+fOTJw8hZtuuokl+5P527Jslu5NlAa5OOQPwj+3JvPkiizKyeLJJ5/k2WHDyMnJMR2t3klBEKUyMzPp17cv9oqtoGWP11iTcHALVptN1h4wKDExkT//+c9MmDCR3IJ2vLo2nbHfp1PpkdaCeLG12sqTKxrxr+0pXHjRr5g6bToXX3xxzI7pkYIgil166aVorxOrY4/pKKI+6SD2im3069uP9PR002niXtu2bRk3/jXuuusuvq9K5bHl2SzeI60FscwXhPe3JPPMyiw89iY899xzPPHEE1G3rsCpkoIgivXv3x97UhK2g1tPfLKIGlbHHrTXySWX/Mp0FBFis9m44YYbmDR5MvltzmD8unRe+SGNam9s/qUYz0ocVoasaMTHJSlcetnlvDG1mP79+5uOFRZSEEQxu93Oeeeei72yRJYyjiG2g1tISk6Omw+haFJQUMDLr7zKwIED+a4ihceWZ7PqgMxEiAVBDTO3JzNkRRa1CdkMGzaMRx99NK5a6aQgiHK/+tWv0H4P1qoy01FEfQgGsFfu4NxzzsFut5tOI47CZrNx44038vqEieTkt2X0mgymb5RVDqNZuaduXYEPtqZw/oUXMrV4GgMGDDAdK+xkSa4o16tXL1LT0vGVbyXQqMB0HPELWavL0H4Pv/qVdBdEujZt2jBu3HgmTpzI+++/z4YqO/d0qqZFqlQG0eTb/QlM+jEDv0rk0Ucf4rLLLovZQYMnIi0EUc5ms3HRhReQWLUDArK0WrRLOLiV1LR0evXqZTqKOAmJiYkMGjSI4cOHU60yeWpFFov2JJqOVW8K0vwkW4MkW4OcmeWjIC12PmMCQXh7UwovfZ9BbkFbJk6azOWXXx63xQBIQRATLrzwQnTAj61qp+ko4pcI+kms2skF55+HzSaNd9GkX79+THljKmd26sJr69L5x+YUgjEwC+H/dXDSKj1Aq/QAj/Ws5v91iI39U2p9ilFrMpi9M5lrr72WcePGk5+fbzqWcVIQxIBu3bqRkZmFrXyb6SjiF7BVlaIDPi688ELTUcRpaNy4MaNeHM2vf/1rPt2RzOg1GTj98fvXZqQqq7UyZGUjNlQl8cgjj/DAAw+QmBg7rTq/hBQEMeBwt0F1KQR8puOI02Qr30Z6RiY9evQwHUWcpoSEBAYPHsyDDz7ID5V2hn6bJQsZRZAfK208820WnoRMRr/0EldddZXpSBFFCoIYcf7550u3QTQL+kmsKpXughhxzTXX8MILIzjoS2LYd4046JaPWtN+KE9g5OpMGuc05/UJE+natavpSBFH3qUxolu3bmRmZWEr3246ijgNtsq67gJZqjh29OrVi5GjXqQ6mMKzqxqx1ykft6asOpDA6DUZNM9vxdiXX6FZs2amI0UkeYfGCKvVygXnny/dBlHKVrGd9PQMunfvbjqKqEddunThpTFj8NrSeGF1lqxsaMCPlTZe/iGDNu3a89KYsWRnZ5uOFLGkIIghF1xwQajboNR0FHEqQrMLzpfugpjUoUMHXhgxkupAIi99nykLGIXRXqeFMT9kkpvXnJGjXiQzM9N0pIgmBUEM6dq1K+kZmdgqtpuOIk6BrapMugti3JlnnsnfHnuczVVWJm9Ik42RwqDWpxj9fRYqMZXhz78QV0sQny4pCGKIzWbjgvPPI7GqFIKxs4BIrLNVbCc1LV1mF8S4Cy64gNtuu43Fe+0s2ivT3BraO5tT2OOyMvTvz9KyZUvTcaKCFAQxpm62gQ+b7G0QHYIBEqtKOe/cc6S7IA7ceOONdOp4Jm9vTsch4wkazLoKGwt2J/HHP/5RCu1TIAVBjOnRowepqWnSbRAlrNW70H4P5513nukoIgysVisPP/K/OAMW3tmcYjpOTPIFYerGDPJym3HzzTebjhNVpCCIMTabjXPPPSfUbSCjlyKdraKEpORk2bsgjrRp04brr/893+xJYr9LPoLr25K9dvbUKv5y/wMkJSWZjhNV5N0Yg84777y6LZEde0xHEcejg9irdjKgf39ZOjXOXHfddSiLhfll8gurPmkN88qSaZXfkn79+pmOE3WkIIhBvXr1wm5Pkm6DCGd17EX7XNJdEIdycnI499xz+Gp3skxDrEdbHTa2VVv57XXXx/WuhadLCoIYZLfb6devL/aqnaCDpuOIY7BVlJCQkECfPn1MRxEGXHrpZdT6YGu1DCatL2sOJqCU4uKLLzYdJSpJQRCjzjvvPLTXiaVmv+ko4mi0JrFqB7179yYlRQaXxaMuXboAsKlKCoL6sqkygdaFrWTNgdMkBUGM6tu3L1arlYTKHaajiKOwOMvBU8O5555rOoowJDMzk4L8lmyuTjAdJSZoDVscCXTp2s10lKglBUGMSktL46yePUms2kG0L4sWTMlGWxPQ1gT86bkEU6J/LXJbZQlKKfr37286ijAor3kLKr1W0zFigjsALj80b97cdJSoJQVBDDvn7LPBVYXFXWU6yi/iKehHIKUxgZTGuM68Ek9B9I8eTqzaSecuXcjKyjIdRRiUlpaGMyAFQX1w+et+naWlpRlOEr2kIIhhAwYMAMAm3QYRRXlqULUHOfecc0xHEYalpKTg8sto+PrgCtR9H5OTkw0niV5SEMSwnJwc2rVrL+MIIsyhAu1QwSbil8vlIska3V16kcIe+j663W7DSaKXFAQx7uyzB2Cp3Y/yyQ9JpLBV7aR5ixbk5+ebjiIMq6mpIdUmCxHUh1Rb3RRrh8NhOEn0koIgxvXv3x+0xlpVajqKAAj4sDn21I3vEHGvovygFAT1JMkKNgtUVlaajhK1pCCIcR06dCArqxG2yp2mowjAVr0LggGZXSDQWlNWVkazZFk8rD4oBTkpdd9TcXqkIIhxFouF/v37kejYJasWRgBrVSlJycl07drVdBRhWFVVFTW1TnJTpIWgvuQm+di5o8R0jKglBUEc6Nu3b91mR7JqoVlak1hdRu+iImw2WZ0u3u3YUTe4VAqC+pOXEqCsrAy/3286SlSSgiAO9OrVC4vFIuMIDLO4KsFTQ9++fU1HERFg27ZtALRMlYKgvrRI9ePzB9i1a5fpKFFJCoI4kJ6eTseOnUiolh8Sk6zVdQWZbGYkoK4gSE5QZNulK6++tEyrK662bt1qOEl0koIgTvTt2yc0/dBlOkrcSqgqI7+ggJycHNNRRAQoLd1JXrIf2aW3/uSFul9kYOHpkYIgTvTu3RsAq7QSmBH0Y63ZS19pHRAhu8pKyUmSvu76ZLdCpl1Jl8FpCntBoJTKV0p9oZRar5Raq5S6P3Q8Wyk1Vym1KfS1Uei4UkqNVUptVkqtUUr1POKxbg6dv0kpdXO4X0s06dChA6mpaXXT3kTYWR17IRg4XJiJ+BYIBNi7bz9Nk2X8QH1rkuSTguA0mWgh8AODtdYdgX7AIKVUJ+BRYL7Wuj0wP3Qd4AqgfejfQGA81BUQwFNAX6AP8NShIkL8nNVqpaioF4mO3VG/+2E0slWXYbXZ6NZNtmYV4HQ6CQSCpCXIz2J9S7cFcVRH94ZupoS9INBa79Zafxu67ADWAy2Aa4Di0GnFwLWhy9cA03SdJUCWUioPuAyYq7Uu11pXAHOBy8P4UqJOUVER2lMT9bsfRqMEx266dO4sG68IALxeLwCJFikI6luiVeP1eEzHiEpGxxAopQqBs4ClQDOt9W6oKxqAQyOvWgBHLrNXGjp2rOPiGIqKigAZRxBuyudC1R6U7gJx2KGCwLdUYiYAABubSURBVCajuOpdguU/319xaoy9HZVSacAM4AGtdfXxTj3KMX2c40d7roFKqRVKqRX798fv4jx5eXk0y82VgiDMDn2/e/XqZTiJiBSZmZkA1PhkikF9c3gVGaHvrzg1RgoCpVQCdcXAW1rrf4YO7w11BRD6ui90vBQ4clu4lsCu4xz/Ga31BK11kda6qGnTpvX3QqJQn969SazZA0GZ+xwutupdpKSm0qFDB9NRRIRISUkhLTWFg26r6Sgx56A3gWa5eaZjRCUTswwUMBlYr7V+8YibZgKHZgrcDHx0xPGbQrMN+gFVoS6Fz4BLlVKNQoMJLw0dE8dRVFSE9nux1u478cnil9OaBMduinr1wmqVD3/xH7m5uexyynuiPvmCsN+lyM3NNR0lKploITgb+BNwkVLqu9C/K4HhwCVKqU3AJaHrAP8GtgKbgYnAPQBa63JgKLA89O+Z0DFxHD179kQpJd0GYWJxV4GnRsYPiJ/p2auIH6sScPml26C+rK9IwBuo+5wTpy7sO6xorb/m6P3/ABcf5XwNDDrGY00BptRfutiXnp7OmR07snZHGf9/e3ceJ1V553v881Sd6qqurt6g2REakEZpIGyXpVkUVAjRyBIlSnyZMRpE9OWglxknaFgMKIvs7kkmmblxEs3ce2eSuVGUcRe3CAiC7Lus3U3T0Bu9PPePLkgjNGtXnaqu7/sfylNV53y77VP96+c85/mdbKOTJtJO9Y84NaFT5JRBgwbx2muvsb7QR7/mmgTXENbkJ+H3J6kguEya45qABg4YgOeEljGOBt+xfbS9qh2tWumappwpNzeXjPQ03t0fcDtKo1BaZfj0SIABAwbi9/vdjhOXVBAkoFPNddT9MMKqK/GeOETewAFuJ5EY5DgOd074EV8V+th0VO2wr9SKvQFOnIQJEya4HSVuqSBIQDk5OWRkNsEp2nvhF8tlc459AzXVDBw40O0oEqPGjBlD0yaZ/HFnihYQvQLHTxre2BtkyJAhdOnSxe04cUsFQQLyeDwMHTKYpOJvoEbNVSLFKdpNKDWV7t27ux1FYpTf7+een9zL1iKHFft06eByWAu/2hSi0nq599573Y4T11QQJKjBgwdjqyvxHtPdBhFRU03SsX0MHjQIx9FwsNTv5ptvJi8vj1e3p7DruG5DvFQrvwmwJj+J+ydNIjs72+04cU0FQYLq3bs3odRUfIXb3Y7SKDnH9mGrKhg2bJjbUSTGGWN47LHHyMxswvMb07V64SXYUezlD9tS6N+/H7fddpvbceKeCoIE5TgON95wA0lFe6Fatzw1NKdgO6lp6VquWC5Keno602fMpKDCYdG6dCrUFfmC9pd4WLgug6bNmvOzn02jds07uRIqCBLYTTfdhK2pwinc5XaUxqWqgqRje7nxhuG6XCAXrUePHkyfMZMdxQ5L16dRqdXF65Vf7mH+l5l4k9N4ZuEiMjIy3I7UKKggSGBdu3alXfv2+I9sQlOcG44vfwu2pppbbrnF7SgSZ4YMGcLUf/gHvir08fxXqZzUSMFZ8ss9zF+bQblJZsEzC2nbtq3bkRoNFQQJzBjDD8aNw1OSj6ckcbtANihrCRzZTLfu3enUqZPbaSQOfe973+Phhx/mi/wkFq1Lp0w3Ap22v8TD7NWZFNsg8+bPp3Pnzm5HalRUECS4m266iUByMkmHNrgdpVFwivZAeTHjxo51O4rEsXHjxjFt2jQ2HUti3toMjp/U9fEdxV7mrMnEBtJZumyZbueNABUECS4YDDJu7Fh8hTvxlBW5HSe+WUvgwFpatmrF0KFD3U4jcW7EiBHMnj2bfWUBfrEmkwOliftxvSbfx9y1maRkNmf5s89pZCBCEvcnTE4bP348fn+ApP1r3Y4S17zH9mJKCvjx3XdrMqE0iLy8PBYuWkSZN40nv8hkY2Fi/VxZC6/vCbBkXRrtOnTi2eee15yBCFJBIGRkZDBu3Fh8hTvwlBS4HSc+2RqSv1lNi5Ytuemmm9xOI41I9+7deeHFl8hq2ZYFX6bzzjeJ0binqgb+eVMKv9+WwpChQ1m2/FmysrLcjtWoqSAQoLYhSGpaGsl7P9EdB5fBd3gTprSQByZN0uiANLjWrVvz3Asv0qtPH36zOcS/bglS1YhvSzx20jB3bTrvHQhw1113MXPmTAIBLe0caSoIBIDU1FTunzgRz/FDOIU73I4TV0xlOckH1tCzVy+uu+46t+NIIxUKhZg7dx7jx49n5b5kFnyZTnEjnGy4s9jLjL82YVdJMk888QT33XcfHo9+VUWDvsty2qhRo+ick0Nw3+eYynK348QN/95PMdWV/P3DD2u1NIkox3GYPHky06ZNY/uJZGZ+0YTdjaj/waqDScxek4GTmsWzzz3HjTfe6HakhKKCQE7zer3802OP4ak5iX/3Kl06uAhO4S58Bdu5++676dChg9txJEGMGDGC5c8+i0lpyi9WZ/DJoSS3I12RGgu/3xbkxY2pdM3twcu//BU5OTlux0o4KgjkDJ06deK+e+/Fd3QXToEaH52PqSwjuGcVnXNyuOuuu9yOIwmmS5cuvPTyL8m5JpfnN6Tyx+3J1MRhDV9SaVj4ZRqv70lmzJgxLFykpYjdooJAzjJ+/Hhyu3UjuOdjrU1QH1tD8o53cajmiccf10RCcUWTJk1YvGQJN998M3/eHWTxulTKquLnstWBEg+zVmfy9bEAU6dOZcqUKTqXXKSCQM7i9XqZMX06oZQgKdvfhupKtyPFHP++L/AWH2Dq1Km0b9/e7TiSwHw+3+lfpuuPBpi9OoP88tj/aN9Y6DBrdSbl3jQWLV6s3h8xIPZ/asQVzZs358lZMzHlx0je+b7mE9ThFO4k6eB6Ro8ezciRI92OI4IxhjFjxjB//nwKqoM8+UUmO4pjd7Lhe/v9LPgynWatruKFl16mR48ebkcSVBDIefTq1YtJkybhHN1N0r4v3I4TEzwnDhPc+QHXdu3KQw895HYckTP07duX5194kUBGc55ak8GafJ/bkc5gLfz79mR+vSlErz59eO75F2jVqpXbsSRMBYGc1/jx47nlllvwH1yH7/Amt+O4ypQXE9q2khYtmvH0U0/h88XWh60IQHZ2Ni+8+BIdrs5h6fo0PjoQG3cg1Fj47eYU/rQ7yM0338zcufMIhUJux5I6VBDIeRljmDJlCv37DyCw52O8RXvcjuQKU1lGaNtbhAJJPLNggWZBS0zLzMxk8eIlfKdnT176OpUVe91d5a+qBl7YEOKd/QEmTJjA1KlTNXkwBqkgkAtyHIcZM6aTk5NDyvZ38BbvdztSdFVVkLL1TXzVZcyd+7Saq0hcCAaDzJ07jyGDB/PK1hT+a7c7RUFVDSz/KpVPD/uZNGkSEydO1AJeMUoFgVyUYDDIgvnzadfuKlK2rcR7/JDbkaKj+iQpW9/EqTjG0089RW5urtuJRC6a3+9nxsyZDB8+nNe2p/BmlEcKqsMjA2vyk3jkkUe44447onp8uTQqCOSipaens2jhQlq1bEHKtrfwnDjidqTIqq4kZetKnNJCnpw1i759+7qdSOSSOY7DtGnTGDJ4ML/bmhK1bok1Fn75dYjPj/h58MEHGT16dFSOK5dPBYFckqZNm7Jk8WKaNckktPVNPCcOux0pMqorSdn6Ft4Th3jiiccZNGiQ24lELpvjOEyfMYP+/fvx280hVh+J/ITYV7cFWXXIz3333cftt98e8ePJlVNBIJesefPmLF++jOZZjbQoqK6svUxQcpif//znDB8+3O1EIlfM5/Mxa9aT5OR05oWv09hzInLrFLy338/re2uXItay3vFDBYFclhYtWrB82TJaNs8itPVNvMcPuh2pYVSdJGXLCpySfKZPn65iQBqVQCDAnKeeJpSWyeL1GRyLQPvkTUcdfrslRN8+vbVWR5xRQSCXrXnz5ixbupTWLZvXDq/H+90HVeWkbHkDX1kBM2fO4Prrr3c7kUiDy8rK4qmn53K8ysdLG1MbtCHS8ZOG5zem06pVa2bMnKVbC+OMCgK5Is2aNWP5smW0v6ptbVFQtDcix6kJNqEm2CQi+wYwlaWENr9BUsUx5syZw9ChQyN2LBG3denShQcfeoivCn28ta9h7jywFn69KURJtZcZM2eRmpraIPuV6FFBIFesSZMmLF26hKuv7kRw23/jFO5s8GNUtBtARbsBDb5fAHOyhNDm1/FXlzJ//jwGDIjMcURiya233srAAQN4dXsKextgPsG7+/2szk/ivp9OpHPnzg2QUKJNBYE0iPT0dBYvWkTXrtfWtgXO3+Z2pItiyosJbf4LyVSy8JkF9O7d2+1IIlFhjOEfH3uMlFAqv90SuqL+ZcUnDa/uCNGrZ0/dURDHVBBIgwmFQjyzYAE9e/Ykeef7Md/7wFNWRGjL66Q4sGTJYrp37+52JJGoyszMZOL9k9ha5LDq0OX3PHhte5CKGg9THnkEj0e/VuKV/s9JgwoGg8ybO5d+/fsT2L0K38ENbkc6J0/pUUJbXict4GP5sqV06dLF7Ugirhg1ahRduuTw6vZUyqou/f3bix3ePxDg9tvH0759+4YPKFGjgkAanN/vZ87s2QwePJjA3k/xHfzK7Uhn8JQWENryOhmhZJYvW0rHjh3djiTiGo/Hw8MP/z1FFfD2N5c+wfD/7gySnpbK3XffHYF0Ek0qCCQifD4fM2fOZOjQ6wjs/QzfgfVuRwJOFQMryExLqb07Qn/RiJCbm0vfvn14fV8KFdUX/77txQ7rCnyM/+EdBIPByAWUqFBBIBHjOA7Tp/+cYcOGEdj3uetFgae0kNCWFTRJT2X5smXqWihSx49//HcUV8A7+y9+lOBPu5JJDaUwduzYCCaTaFFBIBHlOA6PP/7434qCQxtdyeEpKyK09dTIwFLatGnjSg6RWNW9e3dyc7vy9v7gRS1WlF/mYW1+EqPHjNXoQCOhgkAi7lRRkDdoEIE9n+Ac2RLV45vyYlK2riAt6GfpkiW0bt06qscXiRejR4/hYIlh49ELNz96Z78fYwzf//73o5BMokEFgUSF4zjMnDGDPn37krz7I5yju6JyXFNZRmjrm6T4PCxetIirrroqKscViUfXXXcdaakh3t1//hbJ1TXwwcEgAwYMoEWLFlFKJ5GmgkCiJikpiTmzZ3PNNdcQ3PF+5LskVlcS3PoWSTUVPLNgvu4mELkAv9/P8BtuZG2Bn/Lz3IK4ucihqAJGjBwZvXAScXFfEBhjvmuM2WyM2WaM+Se388j5BQIB5j79NC1bNCe0bSWm/FhkDmRrSN7+Dt7S2kZF1157bWSOI9LIDBs2jJPVsLag/oWKPj3sJ+D3a5nvRiauCwJjjBd4DhgFdAXuNMZ0dTeVXEhGRgYLFswnlJxEaNtKqDrZ4Mfw7/0M59g+pkyZQl5eXoPvX6Sx6tatG00zM/j88LkLghoLXxQEGJiXRyDQMI2RJDbEdUEA9AO2WWt3WGtPAn8ARrucSS5C27ZtmTN7Np6KEyTvfJ8rWkj9W5yC7SQd2sgPfvADRo/Wj4PIpfB6vfQfmMeGogDVNWc/v+u4l+IKGDhwYPTDSUTFe0HQBqjbb3dfeJvEgR49evDgg5NxivaQdODLBtmnp7SQ4O6P6Na9Ow888ECD7FMk0fTr14/SSsu2Yod2oSrahf42oWBdQRLGGPr16+diQokEx+0AV8icY9tZf2oaYyYCEwHatWsX6UxyCcaNG8fXX3/NypUrqU5tSXVqy8vfWXUVKTveJT0tjVkzZ+I48f7jLeKOPn364DGGDYU+7sopPeO5DUeT6Hx1JzIyMlxKJ5ES7yME+4C695G1BfZ/+0XW2pettX2ttX2bNWsWtXByYcYYHn30UVq0bElw14dQXXnZ+/Lv+yuUFfHzJx6nadOmDZhSJLGkpqbSsWMHthw7cz2CyhrYUezwnZ69XEomkRTvBcHnQGdjTAdjTBJwB/AnlzPJJQoGgzw+bRpUHMe/97PL2oe3eD9JhzcyduxY+vTp08AJRRJP9x7fYXuxj6o68wh2HXeorEGtwhupuC4IrLVVwEPACuBr4DVrbWz225Xz6tGjBz8cP56kI5vxHj94aW+uqSa4exWtWrfh/vvvj0xAkQTTrVs3KqrhmxLv6W3bj9VehsvNzXUrlkRQXBcEANbav1hrc6y1nay1c9zOI5fvnnvuoWnTLJL3fgr2HNOb65F0aAOUF/M/H31Et0GJNJCcnBygdlTglF3HHZo2ydQluUYq7gsCaTwCgQCTJz+AKSnAl7/tot5jKksJHPiSvLw8+vbtG+GEIomjTZs2BJMDZxQEu0t85HS5xsVUEkkqCCSmDB8+nK5dcwkcWAM1F27MnrR/HcbWMHny5CikE0kcHo+HDh078k1JbUFQVQMHSjx06tTJ5WQSKSoIJKYYY/jJT+6BihJ8BecfJTCVZfjztzBy5Ajatm0bpYQiiSM7uwP7y2rvNDhY6qXGQnZ2truhJGJUEEjM6dOnDzlduhA4uP68cwl8BzeArWbChAlRTCeSOLKzsymusBw/adhfWju5sH379i6nkkhRQSAxxxjDXT/6EZQX4xTtPfeLaqoIFGxmyJChamksEiFt2tQu/Hq4zMuhUs8Z26TxUUEgMSkvL4+MjEyc/K3nfN45ugdbWcGtt34/yslEEkfr1q0BOFzm4Ui5l4z0NILBoMupJFJUEEhMchyH7353JL5jezGVpWc9n1Swlaxmzejdu7cL6UQSQ8uWtUuJHyn3cqTMQ6tWrV1OJJGkgkBi1siRI8FanKO7z3yiqhxv8X6+O3IkHo9+hEUiJRAIkJYaorDCw9FKH81btHA7kkSQPk0lZmVnZ9OyVauz5hE4RfvAWgYPHuxSMpHEkZWVxdEKD4XlHrKystyOIxGkgkBiljGGwYMG4Rw/cEbTI6doDxkZmadXUhORyGnWvAUHyxzKq6wKgkZOBYHEtH79+kFNNd4Th2s3WEvSiYP0799PlwtEoiAjI4MDJbXnWmZmpstpJJL0iSoxLTc3F2PM6YLAlBdjK8vVbU0kSjIyMs75WBofFQQS01JSUmif3QHviUMAp/9VQSASHenp6ed8LI2PCgKJeV2vvQZf+VEAvKUF+AMBLUYkEiWpqannfCyNjwoCiXkdOnTAnizDVJbhLSsiOztb8wdEoiQUCp3zsTQ++lSVmNehQwcAkreswFtymE4dO7qcSCRxpKSknH6sVQobN+fCLxFxV25uLkOHDuXEiRMYYxgxYoTbkUQSRnJy8unHSUlJLiaRSFNBIDEvOTmZJ5980u0YIgmpbkEgjZsuGYiISL0CgYDbESRKVBCIiEi9dJkgcaggEBGReqkgSBwqCEREpF4qCBKHCgIREamX42jueaJQQSAiIvXy+XwAdO7c2eUkEmkq/UREpF7GGF599VUtSpQAVBCIiMh5tWjRwu0IEgW6ZCAiIiIqCEREREQFgYiIiKCCQERERFBBICIiIqggEBEREVQQiIiICCoIREREBBUEIiIiggoCERERQQWBiIiIoIJAREREAGOtdTtDVBljjgC73c4hlyULyHc7hEgC0rkX39pba5td6EUJVxBI/DLG/NVa29ftHCKJRudeYtAlAxEREVFBICIiIioIJL687HYAkQSlcy8BaA6BiIiIaIRAREREVBBIHDDGvGuMafAZzsaYXcaYrIber0hjUt95YoxZ5UYeiRwVBCIick7GGG99z1lr86KZRSJPBYE0OGPMPxpjHg4/XmyMeTv8+AZjzO+MMSOMMR8bY1YbY/5ojAmFn+9jjHnPGPOFMWaFMabVt/brMcb8izFmdvi/69vPLmPMrPD29caYa8Lbmxpj3jTGrDHGvASYKH5bRKLqIs7DO8Pnx1fGmHl13nfCGPOkMeZTYGCd7cnGmDeMMT899brwv9eHR/H+3RizyRjzijHGhJ/7Xnjbh8aYZcaY/4rit0AukQoCiYT3gSHhx32BkDHGBwwG1gNPADdaa3sDfwUeDT+/HLjNWtsH+GdgTp19OsArwBZr7RPhIcyz9lPn9fnh7S8AU8PbZgAfWmt7AX8C2jXw1y0SS853Hm4F5gHDgZ7A/zDGjAm/NgX4ylrb31r7YXhbCPgz8G/W2l+e41i9gClAV6AjMMgYEwBeAkZZawcDF1wpT9zluB1AGqUvgD7GmFSgAlhN7QfSEGp/EXcFPgr/EZEEfAx0AboBb4W3e4EDdfb5EvCatfZUkTCgnv2c8n/qZBkXfjz01GNr7f8zxhxtmC9XJCad7zz8M/CutfYIgDHmFWrPj/8AqoH//a19/Scw31r7Sj3H+sxauy+8r7VANnAC2GGt3Rl+ze+BiQ3zpUkkqCCQBmetrTTG7ALuAVYB64BhQCdgJ/CWtfbOuu8xxnQHNlhrB3Juq4BhxpiF1tpyaof7z9pPHRXhf6s58+dc99lKQrjAebgH6FPPW8uttdXf2vYRMMoY82/23PeqV9R5fOqc0yW5OKNLBhIp71M7VP8+8AEwCVgLfELtcOLVAMaYoDEmB9gMNDPGDAxv9xljcuvs79fAX4A/GmOc8+znQpl+FH79KCCzQb5Skdh1vvPwOmNMVnji4J3Ae+fZz3SgAHj+Eo69CehojMkO//cPLym5RJ0KAomUD4BWwMfW2kNAOfBBeIjy74DfG2PWUfvBdI219iRwGzDPGPMltR9aZ8xittYuonbY839R++F01n4ukGkWMNQYsxoYQe1fSSKNWX3n4QHgZ8A7wJfAamvtf15gX1OAgDFm/sUc2FpbBkwG3jDGfAgcAo5d3pch0aCVCkVEJCKMMSFr7YnwXQfPAVuttYvdziXnphECERGJlJ+GJxluANKpnRwsMUojBCIiIqIRAhEREVFBICIiIqggEBEREVQQiMgViEYnPHWlFIkOFQQiclnUCU+kcVFBIJKAYrkT3vm6Uhpj/sPUdsPcYIyZGN52rzFmcZ3X/NQYsyhy3z2RxkkFgUhiiuVOeOfrSvmTcDfMvsDDxpimwB+AW8P5oXbt/t9c8ndEJMGpIBBJTN/uhPcxf+uEV0S4E561torattNDw++rrxPeb6y1/1rPsT6z1u6z1tZQuyR1NrXLTH+7E94pQ4HfQW1XSqBuV8qHw0tbfwJcBXS21pYAbwO3GGOuAXzW2vUX/60QEVBBIJKQrLWVwC7+1gnvA87shFef83XCq6+73eV0wjtrxTRjzPXAjcBAa+13gDVAIPz0r6jtbaHRAZHLpIJAJHHFaie8+rpSpgNHrbWl4ZGAAafeYK39lNoRgwmcOdogIhdJBYFI4orVTnj1daV8A3DC3S1/QW3hUtdrwEfW2qOIyCVTLwMRcUVDd8IL36Ww2Fr73w0WUiSBaIRARNzSIJ3wjDEZxpgtQJmKAZHLpxECERER0QiBiIiIqCAQERERVBCIiIgIKghEREQEFQQiIiKCCgIREREB/j838D2cmcKOKAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 6))\n",
    "sns.violinplot(x='workingday', y='cnt', data=data)\n",
    "plt.xticks(plt.xticks()[0], ['weekend', 'working']); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### weekday\n",
    "一周内，租赁的自行车平均数量变化？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a20ba7b00>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#创建一个新列 weekday_cnt\n",
    "data['weekday_cnt'] = data['weekday'].map({0:'Sun', 1:'Mon', 2:'Tues', 3:'Wed', 4:'Thurs', 5:'Fri', 6:'Sat'})\n",
    "fig = plt.figure(figsize=(16, 6))\n",
    "sns.boxplot('weekday_cnt', 'cnt', data=data, order=['Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat', 'Sun'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里可以看出无论是工作日、还是周末，每天租赁的自行车平均数量没有明显的差异"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### holidays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21\n"
     ]
    }
   ],
   "source": [
    "print(data['holiday'].sum())\n",
    "# 两年内 节假日总共21天"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1    7\n",
      "2    4\n",
      "3    4\n",
      "4    6\n",
      "Name: season, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(data.loc[data['holiday'] == 1, 'season'].value_counts(sort=False))\n",
    "# 每个季节的节假日天数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "sns.boxplot('holiday', 'cnt', data=data, hue='season')\n",
    "locs = plt.xticks()[0]\n",
    "plt.xticks(locs, ['not-holiday', 'holiday']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于数据集只有21个节假日，远小于非节假日的天数，\n",
    "节假日、非节假日，没有明显的差异"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### weathersit天气"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "sns.pointplot(x='weathersit', y='cnt', data=data, estimator=np.mean)\n",
    "plt.xticks(plt.xticks()[0], ['clear', 'cloudy', 'small_rain', 'big_rain'], fontsize=16);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "print((data['weathersit'] == 4).sum())\n",
    "#weathersit 是大雨、大雪、大雾天，租车的人数为0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### temp气温"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2289d630>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['temperature'] = (data['temp'] * 41).astype(np.int32)\n",
    "fig = plt.figure(figsize=(16, 8))\n",
    "sns.pointplot(x='temperature', y='cnt', data=data, estimator=np.mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a228522b0>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "sns.distplot(data['temperature'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "很显然，气温对自行车租赁有很大影响。气温越高，租车的人就越多。当温度大于35度时，租车的人数开始减少。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### hum湿度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['humidity'] = (data['hum'] * 100).astype(np.int32)\n",
    "fig = plt.figure(figsize=(16, 8))\n",
    "sns.pointplot(x='humidity', y='cnt', data=data, estimator=np.mean, ci=None, hue='weathersit')\n",
    "plt.legend(['clear', 'clouds', 'small_rain', 'big_rain'], loc='best', fontsize=15, frameon=True);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在小雪或雨天，没有租车记录是合理的。如果湿度降低，租车的需求会增加"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### hum湿度和weathersit天气"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 6))\n",
    "sns.violinplot('weathersit', 'humidity', data=data)\n",
    "plt.xticks(plt.xticks()[0], ['clear', 'clouds', 'small_rain', 'big_rain'], fontsize=16);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里我们看到晴朗的天气中，也存在湿度分布。 下雪或雨季湿度主要集中在高值附近。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### windspeed风速"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6jbdXHKVUzyZ5on1ns6u8P7ewlMT0PCetRoi6UVWVhTYZz4p4036xd216PTw1rhOKojCxRwsA8ovNRi8KIYRwlQndm/PAiA4V3vfIqI6M7hLp5BU5jgS8wiNk55ewVD/7365pEIOjXLN/dkRMMwbo5bQ7Tl5gwzEXZBDjl8CmdwFQ/RvyYcSLfB6XdtnDTqjNOWnRPqyGqnsxWUqdukxHmL/lJF9sPglAsL8PCx8dxvKnRvLDQ0PY9texzL1nAEueGMH1fVoCWsfqWauOcfun20jOLnDdwuvhYlH1f29B/t6z91F4J7NFJa+aKhNvGdOzNTGDLYladrdv28aMjNH6J0yymRm/9ID3ZLOFEJ5JURT+dlU3osKDy93+l0ldeHZCFxetyjEk4BUe4Zc9SRSXalm6KbFtUFw0U1bL8nY2rr/l7CxvZiL8/JBx9c2AR3l9Z9n7NygX+Cis0cuag8ln7rffui4jbQfrj6bz0m+HAG2kx3u396Vby1A6RTYitn0YYcHanriGAb68M7UPr9/ciwZ6E5ztJzKZPHMDqw6numz9tZVTWMI/fzvIT7uqHrEUFuxP2zDvyN4L7+XrY7rsoOpSnSOrHuXjKd5dWbav/qmxnYzvq16tQ43OzSsPpxrfaUII4SqFJWZOZ5SffBEc4H09jSXgFW5PVVWjnNmkwM39W7t0PUM6NmVox6YA7D2TxZojl2dXHaKkABbcDUVaievXTOKD9F4ANArw5cM7+rH77+N4Z2pvpg/rwONjYugy8ibj6eYjy5i1KsE5a7WzY6m5PPL1LqOpzQtXdauy1EZRFKbEtuG3x4YZ8zAv5Jdw35dx/Ou3Q259oKmqKr/sTmLMW+v4fNNJquvjk5lXzIsLD2HxsoY/wvtMG9K+0vsU4M5q9pN5gi3HM9iamAlAv7aNGRFT1h1fURQmdNeyvLmFpV7RY0AI4dkOnsum9JLjh+Qsz6yIq4oEvMLtHUjK4XCyNhh7VOcIt5hdaLuX921nZXl//z9I0UZc7LJE81LhbQD0aBXCoseHM7lnCwL9fLihb2v+cU03nh7XiSGjrsPso2UURpn28M7Kox43SDzjYhHTv9xBrl7ae8egttw7rH2Nnhsd0YhfHhnGHYPK9nzP3XSCm2Zv5lSG++17PZaay22fbOXJ7/aQnqt1mW4S5Mer1/fgwZFRNLQ569qqcaCxh3n+1lM8+8M+j96rLLzfXYPbGScLL9UxoiHREZ7fEbRcdndcp8uqkSb1lLJmIYT72H0667LbUqpolOmpJOAVbu+7uLIAbYoTZ+9WJbZ9GCM7hQNaQL7soINLZXd/DbvmAZChNuKR4icowZe7h7Tjxz8NpV3TSkoF/QLx6XglAJ1NZ2lFOi/8st9juqEWlZp56KudRnfu4dHNeOna7rUqaQ/08+HVG3rywe39aBSoBYz7k7K5atZGFu6tuomOs+QVlfKfJYeZNHODkR1SFLh9UFvWPHMldwxux/OTu7Ljb2NZ/Phw1jxzJRufG83cewYQ6Kd9jP+46yxPfLvHrbPX4o/NZFKM/4MAA9o3oVlDbStCQtpFVh52UrWMg2w+fp5tJ7T/v/3bNWF49OWzz/u3bUJ4owAAlh9KlZNUQgiXsjYBBe24AyBZAl4h6kFV4WwcHPwFknZq16tRUGzm191aUNKsYQCju0Q4epU1dmnHZoeVlKbsx7zoKQAsqsKTJY+QGxDJ+7f35V/X9SDAt5qGRZ3GGxdH+ezBosJj3+xmm95UxV2pqsrzP+5nx8kLAHQMD+aDO/rh51O3j62rerVgyeMjjNFSF4tKefyb3fzlx30uG9mkqiqL9yUz5q11zFmfaJQV9WwVyi8PD+PfN/QsN6+zgb8P3VuG0qFZMIqiMLJTOPOmDzIyv4v3J/PQVztl5IlwS+cvFrFKD2pjIhqy4MEhfHhHf+P+Vxe793aDqqiqWr4z89jLs7ugBf3ju2nbMTLzitl+MtNpaxRCiEvt0TO8zUMCadNEm3LhqU0+qyIBr3COpJ3w4WD4dAx8Pw0+GQ0fDYfkfVU+7fcDyUYp6039W9U52HGEPm0aM0YPwI+k5rLkQLLd36Mk7wKZn9+Kj1krb51ZeiMZkcNZ9Nhwru7VsmYvEj3OuHhPuFZuV1xq4f55ccSn5Nh9zfby4drj/LRbG1PSJMiPufcMqPfs5TZhQXz/0BAeHBll3PbtjjNc98FGjqbm1uu1a+t4+kXunrudR/63y5hNGtrAj1eu78Evjwyjtx6YV2dghzC+vn8QjYO0P5vV8Wnc+/kO8mrQ3VkIZ/pld5JxUueW2NYoisLADmFc1VMb13MyI595W066boH1sOV4Btv17G5suyYMi664dBtgkj6eCKSsWQjhOum5RSTp+3X7tGlM81Bty2BydqFHNzmtiPtED8J7ZSbCvOsgPb787akH4MtrIOtMxc8DvrOZvTsl1j3KmW09ZZPlfXflMaOpkj0kZ+Wzc9YdhBVpXXrXmXuRGfsEPz08lPbNqu52Wk7jNhDRDYCOF3cxtY9Wip1bWMq0uds5eyG/qme7xJL9ybyx7Aigzdedc1ds5WXbteTnY+L5yV35/N4BRmfno6kXufb9jXyz/bTDP+QLis28sSyeie+uLzfW6pb+rVn95yu4c3A7fEy160Leu01jvp0xmGYNtVLJLYkZ3PXZNq8Z8yI8n6qqfB+nfZb5mBRu6FvWfPAvk7rg76sdjsxcdYzMvGKXrLGuLsvuVrB319agqDDjBNXSAynScE4I4RJ7bMqZ+7RtTAs94C0qtZCV713HDxLwCsfb/D4UVZI9K8yCrbMrvOvE+TxjP9TA9mF0DHe/hiY9WoUyUe+6mZB2kYV7k+zyumuOpPHNzOcYXLQJgGS1KQXXfMTLN/Qm0K8OM1djtLJmpbSAV/teYFRnLehNzSni7rnb3eoAc++ZLJ5esMe4/p8bezGwg/3nLo/qHMHvT4xgSJSWiSkssfD8T/t57Jvd5Bba/4NeVVWWH0xh7Nvr+GDNcUrM2kFu1xYh/PDQEN64pTdN9YC1Lro0D2HBg4ONL6xdp7O47eOtZFwsssv6haiP/UnZHNGrKEZ1jjD2sYJWeXH/8A6AdiLunRVHK3wNd7X5eIZRmjywfViljbms/HxMjOuqlTWn5Rax+8wFh69RCCEutft02WePbYYXvG8frwS8wvESVtTp/gVxNtldN2lWVRHtbL52eebKY/VqQlJqtvDfpfF8+MV8Hrd8BUAJvlhu/oKJA7vXfZExZft4fY+v5IM7+hl7WRPT85j+xQ7yi11fAnsuq4D758VRWKL9GT58ZUeHjqGKDAnkq/sH8fS4TliTqov2JXPVrI3sO3t558K6Op2Rz31fxjFj/k6jfKhRgC8vXtON3x4dRmx7+wT0UeHavsh2TbV9OIeSc5j68VZSc7zri0t4Hmt2F7Ry5ks9PCraqFD4etspjqQ4d4tBXamqWi5Af3JsTI2a6km3ZiGEq1kzvCZFmxPeMrSBcZ+37eOVgFc4nqWaANByeYOdUrOFH3ZqB0gNA3yZbHNw4G46N29Ubg+add9pbaVkF3L7J9v4fu0u3vefha+i/7mNf5VWPUfWb5FtBkFAqHb56DKC/HyYe88AosK1MuE9Z7J4+OtdlLiwY2heUSn3fRlnjOOZ1KM5z4zv7PD39TEpPD4mhm8eGExzfeTV6cx8bpq9mU83JNarxLmwxMy7K48y9p11rI4v60B7Q99WrPrzFdw7rAO+dt6X3iYsiAUPDiFGH/GSkHaRWz7awplM9ytdF38MhSVmft2jfS42a+hfYfPBhgG+PDtB2yJiUeGVxYc8Yg/ZpoQM4k5pWZKBHcIYUk1212pYdDMa6c3mfj+Q4hG/VyGE9zBbVPadzQagc/MQgvx9JcMrHGPHyUymf7GDLn//nW7/WMpD83eyX//H51XaD6/1/WuOpBuBz7V9WhLk73vZY9zJk2PLMoSzVh2rdafRdUfTmTxrAztPpjPL7z0iFT272OMm/IY8WP8F+vhC9GjtctYpOH+MsGB/5k0fSGSIllVZeySd537c55IDL7NF5Ylv9xjzlnu2CuXtKX0w1XIva30MimrKkidGGI3ISswqryw+zH1fxtWp5HvNkTQmvLued1eW/XuIiWjItzMG887UPkQ4cJ50ZEgg3z04hO4tQwAtgJ8yZwvH0y867D2FqMzyQ6nkFGoVJNf3qbz54M3929CthfZvdsOx86w54t5jilRV5Z2Vtc/uAgT4+jC6q/ZZc/ZCAQfPuW8DQSGE9zmefpGLenNLa8VfC5uA19tm8UrA6yKL9yVz65ytrI5Po7DEQn6xmaUHU7hx9ibWH0139fLsa+hj4ONf8X2KDwx55LKbbZtVTXXDZlWXio5oyPV9WgHawcv3OytvxGWr1GzhjWXxTNP30T7t+z1DfQ5pdzbrDNfMKhuMVl8xE8ouH1sGQOsmQXw5faAxG/OnXUm8tjS+omc71H+XxrPysDbLuHlIIJ9Oi6WBfx32KtdTWLA/n06L5YWruuLno/25r45PY/LMDTUe43T2Qj4z5sVx7+c7OJWhZVWD/H346+QuLHliBIOjapYBqq+wYH/+98Bg+rdrAmhna6fO2WKcVBDCWb632Z5ySxWf5z4mhb9f3c24/sriwy6tOqnOxoTz7NSzu4M6hDG04+Vzd6syqUdZ5dLvDujyL4QQlbHdv9vXCHhtS5ol4BX1VFhi5m8/78dcQSatxKzy/E/77drt1+Wa94CpX4NvzTJaaTmFxpn9Ls0b0at1qCNXZzePj4kxuuu+vzqBotKqZ6Gm5hRyx6fb+GDNcQBGm3bxiO9C7U6/YJgyDwLs2KgreiygB8/Hlhs3d2kewmfTBhhdUuesS+TTDYn2e99qfLv9NB+v196vgZ8Pn06LJdKB2c/qKIrC/SOi+PFPQ2kbpu2FTckp5LZPtjJz5TFKSi2sP5rOy4sO8dLCgyw/mEKp2UJxqYUP1iQw9u11LD+UarzeVb1asOrPVzBjZEenj9UKbeDHvOkDjSY65y8Wc+vHW9l7xn77k4WoSlJWARsTtG7kvVuH0rl5oyofP6RjU6MRYGJ6Hl9tPeXwNdbF5Xt3O1Xx6IqN7BROoJ/2mSBlzUIIZ7Lt0Ny3rRbwNg32N072yx5eUW+r49PIqmJcSFJWQY2zSR6j03gtYwlatrfvXdpl1QxLngWbL/ofdp01Av6pA9rUuETM1do3C+amflqWNzm7kG+3V57l3XAsXcsa6l2oo/0y+Cj447IHXDsLIrrYd4ENw6FVP+3yqc1QWJbpG9ghjPdu62uUZb+y+LCx586RNh8/zwu/HAC0RPbMW/vQo5V7nODo1boxix4fztW9tP3ZFhXeWXmUfq+s4O652/ls4wm+2HySGfN3MurNtYx7ex1vLDtiNNyKahbM/PsG8sHt/cqdNXW24ABf5t4zwNg3mV1Qwh2fbvO+zxjhln7cedb4eK8qu2vr+cld8NdPDr278hgX3KiLvNWGY+fZdVo7YBwcVfO9u7aC/H25spP2/zIxPY9jad6x5SAhLZfNx88bDfqEEO5nt/751SjA15iCYjIpRsJBSppFnRXrmaG5m05U+9h0bxslUloEaXqpbqv+cM1MaN5Lu35iHRz8GSg/q9Hfx2SUCXuKx0bH4KtHjR+sSaCwpHyW12xReXv5Ee6eu50M/SCuR0QAi5p/jH+JHoAOeAB63uyYBVq7NVtKIXFtubsmdG/OK9f3NK4/8/1eh5bXJ6Zf5E9f7aJUP7nx/KQujO/uXs3JQgL9eO+2vrx2Y08jE5NbeHk36zMXCjilN4UK9DPx7ITO/P7kCEbEhDt1vZUJ9PPhozv7G83VLhaVMu3z7azztu0Twq1YLKrRfDDA18Q1vVvW6HntmgZz77D2gHaCZuaqY1U/wcku37tb++yulW235t/3e3a35n1ns7j2/Y2MfXs9t3+yjWGvrWb6Fzu8LlMkhKfLKyrlqD4mrleb0HL9Uqz7eJOzC72q6kQCXgcrKDaz9EAKT323h/56ZijuZPUz9zo0C3bC6pwo7RBY9Kx2y75g8oGr3i67f9lfoSiX7ScyOXE+D4Dx3SNpElzJ3l831SYsyBihlJZbxKg313Lt+xv579J49idlccdguK1VAAAgAElEQVSnW5m1OsHIeEyJbc0vUQsJTN+v3dCqP0x41XELtBlPZFvWbHX7oLY8pR+8lZhVHvpqp13H81hdyCtm+hc7yNYrHabGtuGBEVF2fx97UBSFWwe2Zc6dsdU+dlCHMFY+fQWPjIomwNf5e5Cr4u9rYtZtfY0xT4UlFh74Mo5lBz37IFu4r20nMjmtnwia2KM5oQ38avzcR0ZH01T//J+/9RQJae4zpmj9sfNGdmRIVNN67csf3SXCyGZ78j7ehLSL3PbJVqPrq9Xq+DRu+3irQ2abCyHqZn9SNtadk9aGVVbWirSCErNxjOYNJOB1gOyCEn7efZYH58fR9+XlPPTVTn7enVQuM1RV89keLUPo6SZlnXZzbnfZ5ZZ9tZ9tBpSVNucmw7r/lmtWdeuAtk5coP2M6xppXE7OLmTf2Wxmrz3Ote9tYmuiVsLcwM+Ht27pzevRh/Dd86X24AZN4JYvwDfAcYtr0QeC9ZEgx1aUKyW3enxMNHcO1v7s84vN3Pv5DuMkhD0Ul1r409c7Oak3dBocFcbL1/dw+9J1azfDqkzu2YLWTYKcsJq68TEpvH5TL6YNaQdAsdnCw1/v4pc6jtISoiq2zftu6V+75oMhgX78WR9LZraovLr4sF3XVlcVzd2tj0aBfgyP0ZpdxafkctKOn7XO9MGaBPKKKu5bcTIjv9x3uxDCtawn7AD6tGlS7r4WXjqaSAJeO0nLLeTrbae467Nt9H95BU99t5dlB1ON/XwALUMDuXdYe76dMZgf/zS00rPd1/Vt6fYH/7VWUcALMPYlCNTOLqlbZ3P0wHYAWjdpYDTa8SQWi8oriw9VeJ81tIyJaMjCR4dxU+tsWPSUfqsCN34KjR0c5JtMEDNOu3wxBVL2XfYQRVH457U9jA6iGXnF3D13G2m59f/gU1WVF37ZbwT+HZoF89Gd/Y2GWe4sqAZdo13RWbq2TCaFl67tzkNXdAS0YOKpBXv4ZvtpF69MeJPcwhKW7Ncylq0a1+3zfOqANnTRm1ytOZLOWjcYU7T2aLrR7GVox6YMskPX9Yk23ZqXemjFxUqbRn0VWVHN/UII59lzpqzS9NIMb3MvHU3k/keZbuxMZj6fbkjk5tmbGfTvVfzt5wNsOHbe2JMI0DE8mEdGdWTho8PY9JfRvHhNdwZHNaVv2yYsf2okj42Opn+7JnRtUda5cu7Gk+QXV59N8ijWgNe/EYR1LLs9uBmM+QcAiqWUv/E5oHJL/zZOncFqLztOZnI8veoz9M9P7kJMqArf3QWl+t6mK/4PYsY6YYWUBbwARy8vawYtE/jO1D4M6hAGwJnMAqbN3UFOPcvSPtmQyAJ9j3ZoAz8+mxZL4yDPKFsfHNW0ypJMPx/FmOHr7hRF4bmJnXlmvFa+rqrw/E/7+Wxj9f0FhKiJxfuSjRO+N/VvXafP84rGFJW6cEyRqqq8u7JsP3F99u7aGtc10ujw//sBzwx4i6r5eyl24/FSQvzRWE/atW7SgPBG5asKJcPr5c5k5vPZxhO8v/oY64+mY6lgLJCqqhxJyWXWqmNMnrmBEa+v4ZXFh4k7daFcZWjPVqE8O6EzK58eyao/X8mzE7rQq3Xjy7K2kSGB/Hl8Z37801B+f2Ikt+h765KzC5m99rhDf79OVVIIaXo5WoveWpbRVv97jKzvEJ9DXOuzhVtiWzt3jXZibVxUlfScQlj4KGTqf8dRo+CK5xy8MhsdR2vzj6HCfbxWgX4+fDItlq4tQgA4nJzDjHlx1Y5bqsyygyn853dtxq+vSWH2nf2ICrfj2CUHa+DvwzMTOld6/8NXRtO0oQPL0e1MURQeHR1TLqB4edEh3lt1zKsaVQjXWGA7e7d/3T/Ph0U3Y6y+TSQh7SL/c2Elwtoj6cZIr2HRTRmonxCsrybB/gzRM8V7z2RxzgO7G/dv26Re9wshnCM5u4DUHK0x7qXZXbh0Fq/nfRZVxqEBr6IoJxVF2a8oyh5FUeL028IURVmhKMox/WcT/XZFUZRZiqIkKIqyT1GUfjavM01//DFFUabZc40Wi8rLiw4x8vU1vLzoEG8uP8rdc7czaeYGTmfkY7Go7D59gf/8fpjRb61jwrvreXvFUQ4ll410MSnaWJd/XN2Njc+N4rfHhvPIqGiiI6qeN3ip/5vYhUYBvgDMWZ/I6YzqgyePkHpQ6woM0LLP5febfDg+8F9YVO2EwD8D/0fLQM/cKB/RqPqAp1/yt3DoV+1KSCu46VOtiZezBIZC2yHa5bM7IK/y8TQhgX58ee8AWjfRPgC3Jmby1Hd7aj0n+kBSNk9+u8c4MfTK9T0Y2rFZnZbvSncNbsebt/SmTVjZF0JkSAAvXtOt3nv5XOW+4R147caeWM/HvbXiKK8tjZegV9RZQtpFY2TPkKimtAmr3772v13V1ZgN+faKo2TnO//7Qcvu2qczc0Um2JY1e2CWd8YVlTcdbODnw91D2jtvMUKISu0pt3+3ooBXMrx1NUpV1T6qqlpbnP4FWKWqagywSr8OMAmI0X/NAGaDFiADLwKDgIHAi9Yg2R4+3pDIZxtPcOmh3ZHUXK5+bwNDXlvFDR9uZs66xHKNe/x8FK7sHM5rN/Zk+9/GsuDBIUwf3qFeDWvCGwXwhH7QXFxq4dUlFe8F9TjndpVdtt2/a2PeqTC+NY8CoIk5E9b91xkrs7th0c1oHhJY6f1jg08Qvfd17YrJV2tSFeyCwK+TtVuzCsdXVfnQiJBA5k0fSJjeMXXJ/hT++dvBGgdEqTmF3P9lHAX6iKYZI6O4daBnNiQDuLl/a9Y+M4qVT1/B8qdGsvG50dw7rINH77u/dWBb3p3axyirnLMukX/8erDCShchqmMdRQQwZUD9q3U6NAtmmh4wZeWXMGu188cUrTmSxl69A/Hw6GYMaG+f7K7VhO6RxkknTwx4R3WOYED7yw/NfBT45O5Y2jZ132Z+QvyR7D5TFvD2raDyomnDAGO8puzhrZ/rAL0tLV8C19vcPk/VbAUaK4rSApgArFBVNVNV1QvACmCiPRZSXGrh0w2Jld6fU1hqpP1Ba1ozuWdzZt7ah51/H8cX9w7k1oFtaWbHMsa7h7SnY7g2kmjZwVQ2HPOCOZnn9pRdriDgLSwx88uec7xeOpUs9BLXrbO1zLCH8fMx8frNvYxshK1Inxw+8J+FYs12j38V2gx08gp1tuOJji6r9uFR4Q35/J4BRuOmeVtO8cGahGqfV1Bs5v4v40jJ0T40x3aN5LmJXeq2ZjfiY1KIjmhIp8hG+Pl4x86Q6/q0YvYd/YwRKfO3nuLZH/ZRaraQmlPIzlOZnKlByb74Yys1W/hxlxbwNgrwZWL3FnZ53cfGxNAkSNtD/+XmkySmX7TL69bE5Xt37V/NEdEokNh22sHnjlOZdmkS6EwZF4uMkUSNAnyNqiCzCtERnrN1RQhvZ83w+vkodG8Zctn9PiaFyBDrLF4paa4pFViuKMpORVFm6LdFqqqaDKD/tHZ5aQXY9q0/q99W2e3lKIoyQ1GUOEVR4tLTaxYknsrI4/zF4iof4+9j4qZ+rfnk7lh2/X0cH97Rn+v6tCIksObzBGvD39fEi9d0N67/87dDlHh6swdrw6qAUAi7vOxp2cEUsgtKyKIRm9o9qt2ommHxMxWOzXF3IzuF8/PDw7i6VwtCG/gR2sCPq3tEsKrdfAIK9E6V3W+AQQ+6bpHhXSBUz7ImrARL9ftye7dpzOw7+xtn/t5cfpRvq9hPZ7GoPL1gD/uTtIOgbi1CmHlrWRZRuJ/x3Zvz6bRYAv20r4Yfd51l6GurGfTvVdw0ewsjXl/DlDlbOJLiPjNRhXtZfyyd9FztRPHVvVvarXN5aAM/nh6nlRGXWlT+vcR5Y4pWx6cZwdyImGbE2jm7azWxh3ZyQFVh+UHP6mo8f+spikq1Y5U/jerIgyPLvutXx7u+u7YQQjshaT0m69oihEC/ij+frWXNydmFXrO9ydEB7zBVVfuhlSs/oijKyCoeW9FRsFrF7eVvUNWPVVWNVVU1Njw8vEaL861BZuaOQW15a0pvxnWLrPQfhr2N7BTOuG5lTTrmbTnllPd1iOJ8SNcaFdGyN1RQ9mk7n6/TpIehVX/tyunNsG+BM1Zpdz3CVN7vsIW9HT9mb8ePed/yCg3PbdLubBoD175X4Z+F0yhKWbfmwixtL28NXNEpnDdv6W1c/+vP+ysdN/HWiiNGx9GIRgF8dk8swfoedeG+RnYKZ970QQTrgUpablG5+7efyGTqnC2S7RUVWrCjrJzZ3s0HbxvYlhg9W7jycJpTKqCckd21sh1PtMyDxhMVlpiZrx+nBPn7cMfAdoyy6Vi/Ot6zgnchvNWR1Fxje1lF+3etrKOJ8ovN5BR6x9QYhwa8qqqe03+mAT+j7cFN1UuV0X9aT/2dBWwn07cGzlVxe721bxpElF4+XJlx3SPt8Va19sJVXY3SwndXHOX8xaJqnuGmUg9o2VqosJz5dEY+m49rTZP6tW1MTPNQmPwmxnmO5S9AYbaTFmsn5xNg9lBY9ldIWKH9Slyr3ecbCFPnQ0DtGpo5RKcJZZer6NZ8qev7tuKFq7oCYFHh0f/tIu5kJkdScll1OJWD57L5Ie4MH6zRulAH+pn4dFpsuc5/wr0N7BDGTVV01s0qKOGjdV7USV7YRcbFIlbpwU10REP6VnFAVRe+PqbyY4oWOX5M0arDaUZGZERMM/q3c0x2F7R5xb1bhwKw5XgGWflVV6C5i593J5GRp611SmwbQoP8aN0kiM6R2vfcxoTzFJbUrbu/EMJ+dlfTsMqqhRfO4nVYwKsoSrCiKI2sl4HxwAFgIWDttDwN0NvVshC4W+/WPBjI1kuelwHjFUVpojerGq/fZo818uz4yseMDI9uZowKcLZ2TYN5YGQHAHKLSnlj6RGXrKPerOXMUGHA+/3Osuzu1AH6eY1W/SB2unY5Lw3W/MeRK7QvVYUf7oWcpIrvD2qmlRO7g/YjtAAcKp3HW5n7R0QxQy9ZKyq1MHXOVia8u577vozjqlkbefaHfcZj357Sh16t7XvgKxzPepBfmWUeVnIpHO+XPecoMWsFWLf0b+2QRm4jO4UzWs8eHknN5bu4M9U8o+5UVeXdVY7rzFwRa1lzqUWttHrGnVgsqtELxaTA9GEdjPtGd9X+ngpLLGw5Xvk0ACGEc+yppmGVlW2C4pyX7ON1ZIY3EtioKMpeYDuwWFXVpcBrwDhFUY4B4/TrAEuARCAB+AR4GEBV1UzgZWCH/utf+m12MalnC2be2qdcZ11fk8JN/Voz567+Lu28+vCV0ca6Fuw8Y8z/8yhVBLxmi8r3cVr5W7C/D1f3all25+gXIEg/2bB9DqTsd/RK7eNsHKTsq/z+nLNwZrvz1lMV/yAt6AVI3Q85tSuc+MvELkzSS/DMl+zxsF57YEQHJve0T9Ma4VxFJVVnzookYyNsqKrK93rw6WNSuKHfZa027Oavk7savQTeWn6UnELHjClaeTiNA0naCMKRncLp387xs2Qneth4ojVH0jierk2wmNijebluzGPKlTXLPl4hXM0a8DYO8qN9FZ3TJcNbC6qqJqqq2lv/1V1V1Vf12zNUVR2jqmqM/jNTv11VVfURVVU7qqraU1XVOJvXmquqarT+63N7r/W6Pq3Y+NwofnhoCPOmD2TL82N4a0pvl+83DA7w5fnJWjZQVeGl3zxwTIg14A1sDI3blbtr/dF0o3vv1b1alv/zDgqDsf/ULqsWrYGVxQOad52vQSa+Jo9xFttuzbUoawYwmZRqx3BJGZvn6tu26qx8n2ruF38sB5JyiNebmY3qHE5Eo8rHs9VXdERD7hysfZ9k5hXz/urqO8bX1uVzd50zZ7tDs2C6NNdKgTccO0+ug4J5e/nEZtLF/SPKN6Xs27YJjfXO2qvj07ym+Y0QniinsITjenf73q0bV5nQa+6Fs3i9Y56GHfj6mIhtH8bITuGEN7LfmKH6urZ3S2O23e7TWfy8u5JSWXdUdBHO6wcMLfte1qTJtlnVlAFtuEyfO6D1AO3yma2w71tHrdR+gmpQAl+TxziLtXEVwLEVtX76uqNVn7VfHe8FY7X+oO4Z2r7C8VpW1rEjov5KzRaWH0zhtd/jeXflUQ6e87C+BZTfnnJz/wo+z+3sybExhDbQgqnPN53g5Pk8u77+ikOpHDynZXev6BROvyrK/+zNmuUtNlvcOjN6ICmbrYlawV3/dk0u+zPyMSlc2UlrIpqUVcCRVOnuLoSr7DuTbQw+qWr/LpQvaU6RkmbhDIqi8NK13bFOcnltabzbn/E1pOzXsrNwWTlzem4RKw9r+5NiIhrSr6JskcmkNbBS9H+my/8OBW5e1t1uKJiqGFnVIAw6jnHeeqoT1gGa6fvSjq+B0to1Rys1V33GvtQTsvKiQjGRjfjg9n5Gt+ZLfbP9DAv32qV/4B/a6Yx8Jry7nhnzd/LRuuO8u/IYV83ayBPf7qa41DP+/xSWmPlFPxnbNNjf2GPrSI2D/HlKz7qWmO07pujSzsxPjXP83l1bk3qUbQNx57Jm2+zuAyMuHzkIMLprWePPVYfdN3gXwtvtPn3BuFxdBVd4owBjhKRkeIXTdG8Zym0DtZmp6blFDinfcogq9u/+vPsspXp59tQBbSovrWjZB2Lv0y7nn4c1rzpipfZRUgjf3wuWyk5IKDD5DfBzXKlfnVjLmkvy4NTmWj11YIeqO5YO7OBG2WxRa+O7N2fLX8fwyvU9eHBkFC9c1ZW/Te5q3P/Mgr3SjKYeSs0W7v1iu7EH0tave87x5nI32v5QhRWHUo3RFdf3bYW/r3MOLe4Y3I6O+qSF5YdS2Xz8vF1ed/mhVA4la9ndUZ3Dq82G2FunyIZENdN+X2uPpFNQ7H5bQ5KyCli0LxmAdk2DjFGKl7oiJtw4cF7jxtlqIbydbcOq6j7TfEwKkXq1qwS8wqn+PL6zUb41d9MJEvU6fLdWScCrqqpRzuzno3BD32qam4z+m9bdGGDHp5C8194rrb+SQvj2dji+SrseGKrPE1a0X+1HwN2/QM+bXbnKipXbx1u7subpwztUenDra1J4YESHCu8TniMk0I87B7fj+clduX9EFA+MjOLxMVpmrdhsYcb8OOJTcly8Ss+0Oj6twmDX6uutp7hY5P4zEBfYdEqeEuv4cmYrPx8TL9iMKXp50WHM9exzYbGUz+4+4YTOzJdSFMUoay4oMbPuqPttDfli0wnjz/q+4R2MoPZSoUF+RrOvXacvkJnnGaOWhPAmqqoaAW+HZsE0DvKv9jnWfbzStEo4VViwP38er33xlphVXl50yMUrqoHkPdrPoKYQ2poSs4XV8an8e8lh4yBvXLdImjasZs90gyYw/mXtsjs2sCophO/uKAt2g8Nh+nJ4YDX8PV37dc8iiLrSlausXNsh4K/PBT5Wu4lfnSIbMeeu/jQJKl/G3SjQl/dv7yvjiLzUU2NjmBKrzenNLSzlnrk7SPaSfT7OtOt01Vs08orNHHXzfY/nsgrYmKBlVnu1DqVzc+fOGB/VOYKR+j7Rw8k5Rqfoulp+KJXDenZ3dJcIp2d3rcqXNSe7ZA2VySks4Zvt2p9zaAM/bq5iZjeUdWu2qNX3fRBC2N/ZCwXGrOyafqa1aKzt471YVOo5WymrIAGvB7l9YFuje+OaI+msjnfjGX2FOXBeP0vesi+bjmcw4r9rmP5FHJ9sOGE8rHdNA6Jet0Kbwdrls9thz9d2XnAdWYPdhJXa9aBmMO03iNBn7fr4ab/cma8/dLxSu5yRABnHa/X0UZ0j2PL8GGbe2odnJ3Tm7Sm92fbXMcY8SeF9FEXh1Rt6cmVnLdBIySnknrk7yC7w/C9FZwr0q/4rOMBJ5cF19ePOs0YjlFucmN219cJVXY0M45vLj9T54EzL7pZ1Zn5ijHM6M1ekR6sQozHcqsNpFJW6T1nzd9vPGJUHdw1uR5B/1RMtxnQt29Mt+3iFcL5dNvt3axzwhnhXp2b3/iYV5fj6mPjHNWXlW//67ZBbfQmWk7IP6zTWjNDuTP9ihzGCyNa7K49yoibdNU0muMqmgdXKFyHfbuOY66akEL67s3ywe88iiOha9fPcUT3KmgEC/Xy4rk8rHhkVzY39Wld7ACQ8n5+PiQ9u70fPVqEAHEnN5cH5ce77meSGKtv3aNU2LIiuzUOctJraU1WVH3Zps9T9fU1caztL3Yk6RTbijkFan4vzF4v5YE3tTtpZLT+UYoxWGtMlgt4uyu6CXtbcXStrzi0qZXOCe+yVLzFb+HyTdtLa38fE3UPbVfMM6BjekLZh2gi79UfTKTG7UYWWEH8Atvt3q2tYZeVto4kk4PUwQzs246qeWubsZEY+czeedO2CKmOzf/e3tAiKKuk2WlBi4bONiRXed5nmPWHgDO1yfgasfqW+q6w7I9jVg0NPDnYBom3HE9VuHq/44woO8GXuPQOMg9mtiZk88/0+z5sX7iLdW4bSLqzyWdaTezbHVMneSHew/UQmpzLyAZjYvTmhQa6rZnlybCdCArUTbXM3nuBMZn6tnn/53l3XZXetrPt4AX53k7LmJfuTOacf/F7Xp2WN5i0rimJ07s4pLGXnqQvVPEMIYU/WgNff10SXGp5E9bbRRBLweqDnJ3cxSuHeW32M1Aoypy5nE/D+nFZ1FqNWZ66vfB6C9fKouLnlG2M5S2kRLLirfLA77TfPDXYBQlpA817a5ZMbodi+My2F9wpvFMAX9w4w9nH/tvccry2Nd/GqPMPq+FRO6YFZRWHtj7uSuODGTX4WxJ01Lt8SW/U+TkcLC/Y3GkwVmy385/fajSlaerAsuzu2a4Rb9B/o17YJEXqn1BWHUil1cWZUVdXyo4hGVjyKqCK2o6rcebawEN6muNRizBTv0TKkxl30WzQuO5l1LssN44xakoDXA7VuEsSfrogGIL/YzGu/u+HB5Tm9YVVwBOepenRNhUd6lWnQuKyBFSos/rNzG1iVFmmZXWsW1BrsRnar+nmeoNME7ae5CE6sd+1ahEeJCm/IZ/cMME7Efbw+0Sh7FBW7kFfMcz/uN66/d3tffnp4KIsfH240AUrPLeIfCw+6aolVulhUypL9WtaxVeMGDO3YzMUr0vaTdtDH+SzZn8K2xJqdTLVYVGbaZnfHOL8zc0VMJoUJelnzhfwStp1w7TaerYmZHEjSDpyv6BROp8iaNygbFBVGkD7Te9VhN+4/IoSXOZycY8x079OmSY2f18KmpNkbOjVLwOuhHrwiilZ6B7WfdycRd9LF+1ltFWRBpr6HqmVfurSounxiZEx47V6/11RoO1S7nLQTds+vwyLr4LJgt6n3BLtQfh/v0dp1axaiX9smvHdbP6wVuP9adIjf97tHGaY7+vuvB0jPLQLglv6tubpXS/q1bUL3lqG8eE034/P9t73nWLTvnCuXWqHF+85RUKLt176pX6tKx9I4k7+vqdyc6H8tOlSjMUW/H0jhSKo1uxtJz9ahDltjbU1yo7LmT22zuyNqnt0FCPD1YUSMdlLkeHoepzKkikgIZ9ht07Cqpvt3AcIbBhjf58nuWElaSxLweqhAPx/+fnXZF/tLvx2s9/xBu7GZk3vcL4b1xyqfIdgwwJf7htdyVqui6A2stLPFrHzJ8Q2sSovgu7suCXYXeU+wC9rc4AZ6Nv7YCozWq0LU0Lhukfzruh6A9s/nie/2sN3FWSl3pAWxZdlR22aEAI0C/Xjj5l7G9Rd+OUBarnsdcHxvU858c3/XdGeuyJiuEQyP1gKrg+dy+HHX2Sofb7GozFxV1pn5STfYu2trYIcwY7vAsoOpLtsfn5B2kVV6KXKX5o0YFt201q8xpkvZ9iZvKWvOKSxhc8J5tiVmUFgiDfuE+7FtWFWbMWu+PiZjj77s4RUuNaF7c+NL50BSDgvqOX/Qbmz21f5nbyAlZu0LOjjAp9zDopoF89X9g2hTRdOWSkV2h0EPaZcLMmHVP+u83GoZwa6e9fS2zK6VyQeix2qXc85CmgfMehZu587B7XhkVEdA2zv0wLw4EtLce5asM6XlFPL3Xw8Y19+4pReNAi9v9jQ0uhn3DG0PQFZ+Cc//uB/VTU5CHU+/SJzeeGhwVBhtm9bhM9xBFEXhhau7GpmJN5YdIU8foVORJQeSOZp6EdBO2PRo5T7ZXdAOOsd307K86blF5caLONNnG8u2KMwYGYWi1D6jf2WXsmouTw94S/V94oNeXcXtn25j6sdbGfKfVczdeMJt/p8KAWUBb7OG/saos5qy7uNNlj28wpUUReHFa7obpWRvLDtCdr4bzMG0CXj3mrXs7YyRUez7x3i+eWAwb0/pzXczBrPy6StqdbbpMlf+BRrqZ4x3fglnd9Zn1RUrLYIFd5cPdu9eqAXc3si6jxekW7Oos2fGd+bGfq0AyC4oYdrcHe7ZXM/JVFXlLz/tJ0v/nL5naPsq974+N7GLsSd1VXxauayqK/2ws2wdU1w0e7cqXZqHcNtAbUxRem4Rs9dWPKbo8r277pXdtZrY07asOcXp73/+YpGRKY8MCeDqOo6fimgUSC+9XHxrYoYxy9cT/f3Xg8xZl2iU9YO2z/pfiw6VOzkghCtdyCvmpN5Jv0+bxrU+UWXdx5tbVFrn+ebuQgJeD9cpshF3Ddbm4GXmFfOuTWmWK1gsKheO7wAgRW1COk14flIX/jq5Kz4+JoZ0bMqN/VozKKpp/cdtBIbA+Ff1Kyos+TNY7FhSVFoEC6bB0aXa9QZhWrDbvIf93sPddBxdNuv4qAS8om4UReG1G3sZe/aSsgqYNne7x39h1teCuDNGZiuqWTDPTexS5eMb+Pvw1pTe5fZFn71Qu3E79lZqtvCjHvA2DPBlUo8WLl1PZZ4e14lGAdqYoo83JFb457Z4fzLH0rTs7ng3zO5aDevYzPi9LD2Q4vQM4vwtp4ymN/cM7UIOYt4AACAASURBVFDjLq8VsXZrLjGrbDx23i7rc7bTGfl8u/10pffPWnWMgmIpbxaut+ds3cqZrZqHlGWEPf2ktQS8XuCpsZ0IC/YHYN6WUxxNdU35YInZwj++20iToiQA9luieP3mXjx4RUfHvWnPm6HdcO3yud2w60v7vK4R7P6uXW8QppUxe3OwCxAUBq0HapfPbIMCmZco6sbf18TsO/vTTW9aF5+Sy0Nf7TQOnP9ozmTm86/ftG0CJgXemtKbBv4+1TxLawb2kP4ZerGolGddPOd4w7HzpOnNtq7u1aJGvwdXaNowgMfGaNMMikstl00zMFtUZq1yr7m7lfH3NTGmqxYoJmUVsD8p22nvXVhiZv7WUwAE+ftwu545r6vy+3g9s1vz6vhUqvofmFNYyg53aiQq/rB2ny4LePu2rXmHZquWNqOJkj28U7MEvF4gNMiPZyd0BrQv8X/+dtDpZ4ALis08NH8nJ/dvMm7r0Gu448vdLmtg9U/Iq8Vc34qUFv8xg12rmHHaT9UMx1e7di3CozUM8OWLewcYHYc3JWTw3I/7/nB73CwWlWe+30uenvX505Uda3Xw8cTYGLo010bAbEnMYN6Wkw5YZc3Y9oq4xQ3LmW1NG9qedvr+4kX7kstNM7DN7k7oHkn3lu6Z3bWaaJNJd2ZZ84+7zpKpz4KeOqANoUGX7zevje4tQwjXZwuvjk936cmbuiqtwZpLXDwzWQgo27+rKBjbCWqjuc1oIk/fxysBr5eYEtuGHq20TMqmhAyWHXTeF2J2QQl3z93Gqvg0eillYwui+4xwzgIiusLgP2mXC7Ng5Yt1f63SYm3Pbrlg18vLmC9Vbh/vCtetQ3iFiJBAvpw+gNAG2oHyz7uTeH3ZERevyrk+33zSmKHatUVIree8Bvj68PaUPvj5aLXNry2NJzH9ot3XWZ3MvGJW6jNUo8KD6VeLEReuEODrw19txhS9vOgQFouK2aIyc2XZ9h93mbtblSs6hdPATzux66yyZotF5bMN2n5UkwLTh9VyokIFTCaF0Z21bPX5i0VOzVbbS/92VZ+s8vNR6F2f/iRC2IGqquzVA97o8IYVNkesju0sXsnwCrfgY1J46ZqyRkovLzrslBb5aTmFTJ2zhR0ntdLXWP+TZXe26OPw9zdc+RdopJ8B3z0fzuyo/WuUFsP3l2Z2F0LznvZbpyeI7AGN9KYkx1aARc5Ui/qJjmjEZ9Nijb1/s9ceZ/6Wky5dk7MkpF3k9aVaOa2fj8LbU3rXaQ9kt5YhPDlWC8wKSyw8vWAvpU7OIv2yO8nouj8ltk2dOvU62/hukQyJ0qYZ7D2bzRVvrmXE62s4nq7NgZ3YvTndWlY9K94dNPD3YZTe5fjE+TxjbrAjrY5PI/G89uc0qUeLuk1UqMBovTzb+h6epk+bxgyOCqv0/pv7t6FZwwAnrkiIy504n0d2gdY3o64NYpuHlu3hTcnx7NFEEvB6kdj2YdzQV+uMmpRVwJx1idU8o35Ons/jxtmbiU/RvnjbhgUxsqG2f5eQ1tAwvIpn21lAI5jwatn1xU/XroFVaTF8fw8cWaJdb9Dkjxnsglb7Yi1rzj9fruu2EHUV2z6MWbf2wRoj/WPhQadWorhCqdnCnxfsoUjft/zUuE50bVH34OrBkVHGgcueM1nMWe/Yz3hbqqoa5cw+JoUb9e8ad6coCg+MKMtMnsnM51xW2YHb0DrMk3WVcmXN+x3/f+eTDWX/vu4fUf/srtXw6Gb4+2iHn54Y8CqKwqzb+hoVF7au6tWCF6/xspGFwiPVd/8uQESjAKNp4jkpaRbu5C+TuhCkNxH5cG2Cwzp6HkjK5uaPNnP2gnbg0LVFCD9Oi8E3Vx9X0dKJ2V2r7jdCh5Ha5ZR9EDe3Zs8zgt3F2vUGTfRuzH/AYNcqZnzZZRlPJOxkYo8WvHi1djCoqvD4N7vZecp7m7vMXnucvWe1ks1+bRvz4Mj6NfDz9THx1pTeBOgZ4ndXHuXQuZx6r7MmDp7LMU5uXtkpnIiQwGqe4T4+33yy0vverGZOrzsZ3SXCqA5w9MmifWezjDL8Ae2b1PmAuSLBAb4M0jOk+5OyPbL7657TWUa1g1WQvw/v39aXQD/3bOQmasFihiNLYdnfYPkLcHyNx1W7WffvQt0zvH4+JmPPfYqUNAt3EhkSyGOjtW6TRaUW/rMkvppn1N6W4xnc+vFWzl/UGlkM7BDGdw8OJjzH5r1a9rX7+1ZLUWDym2DSxjew+mW4mF71c0qL4Yd7Lw92W/Ry7FrdXdSVYNL3e1hnEAthB/cM68CDI6MA7TPqvi/jOO6C/aiOdiApm5l6F+BAPxNvTeljzEyvj47hDY1xRiVmlacX7HFK5+vvyzWrau3w97OXM5n5bKhi/E1OYSlL9ic7cUV11zDAl5H6qK/4lFxO6OXGjvDJhrJZsvePiLL764/pUlbWvMYDs7xfbysbS9Q5Umsol19sJl3vYC48WG4qfDIKvpkKW96Hze/B/Ovhi6s8anKFNeBt4OdDp8iGdX4da1lzcraUNAs3M314e9rrnSkX709m83H7zbpbeiCFaXO3GwPjx3WLZN70gYQE+pUvfXVFwAsQ3hmGPKJdLsyGlS9V/lhrsBu/SLveoAnc/asEuwABDaH9MO3yud1w0fMOSIT7em5iF67ro+0Tz8ovYdrc7aTlevbZY1tFpWb+vGCv0c31+Uld6dAs2G6vf8/Q9sa+1PiUXGY6eP56YYmZX/acAyAs2J/RNqNl3N2ZzOqrnGryGHdRvluzYwL1pKwC4yRA+6ZBjO1q/7/v0eXGE3nW98uZzHzWH9NOpvdqHcpVvcr+ThIdeBJCOMkP90Ly3stvP70Zfn3U+eupg8ISM4eTteqfnq1D8fWpe7jXQq/mySks9ZhqmIpIwOuFAnx9+PvVZXtI/rnwkF2am3y7/TQPf72TYv21psS2ZvYd/crKd9wh4AUY+X8Qou8v2/MVnN56+WPMJeWD3cDGerDb23nrdHcx0q1ZOIbJpPDGzb0Z2lEL2s5eKGD6FzuME2me7u0VR42mQsOim3LX4HZ2fX2TSeH1m3vRMECrZpm99ji7Tjsu87DycKrR/OT6Pq3q1HTLVSJCqm8e5Enl2WO7RuCrVwosddB4os83nsCsn6y5b0SUXSoTLtW2aRAxEVrWaWPCeac02bSXb7afxtok+/aBbcudzHJk1l04wbndcGpT5ffHL4JM5/VOqKuD57KNE65969kxvIWXzOL1nG8tUSuju0RwZWetadSR1Nxy5Te1paoqH6xJ4C8/7cc6fu5PV3bkvzf1Kn/WKHmP9rNxWwiqvIOhwwU0hAn/Lru++Bkw2xxIm0u0Pbu2we60hRLsXkr28QoH8vc18dFd/Y35sgeScnj4610eP78y7mQmH+vNpBoF+PLGzb0xOSBgaBMWxN+v1kbuWFR4ZsFeCoodEzR8H3fWuDxlgOeUM4PWIbyqETEBviautsnQubvGQf4M0U8U7Tubbfc+HTmFJXy7QytfbxLkx839HPf3PVova84vNhv7hd1dcanFaN7W6P/ZO+/wOMrrbd+z6t2SJVlyleTeewUbN1wwYMDYBkwnFJME+IWPQBKSkJBGqEkghBYIvdmAKS5gY2xwN+7dluWiLstWr7vz/fHO7qxsadV2d2ak974uLt7Zmd09tqXdOe8553lCArliaGfSEvSE1wi7MIkXydzehGt+9H0craSuYFUrE143ayIrz/HKhLeNoigKv718gEtF8JmvD7vM45uDw6Hypy8P8KSbb+ajc/rz8Kx+dS0pSnKhWFNoNrK662TAXEibIta5e+DpvvBUX3h7npjDkMlu43TsCbGaMuexNWKjQCLxItGhQbxx2xg6a1+o6w7n86ule/ziMeoLyqpqefCjXa7qz++vHEjnDmGen9QKFozq5koa0gvKeGKF9zUbsosqXO2bg7vE0C/J/BY+5/OXqwcRFRp4weMK8PhVg+gQHuz/oFrBrEFJrrW3q7zvbznp6rS4cVwPwoJ9J8A01W2Od43m72x2vt6f69IvuWp4FyJCAknpKCu8bYagJlhvBXtvPMVX7KgjWNU6wTl3ayIrz/HKhLcN0zMh0mUUX1RRw9OrDjXyjLrU2B08+NEuXvteiFcE2BSenj+0fgELZ3UXzJHwKgpMekg/Li+A0hw4+g2c2iwek23MnlEU6KO1NVcV639vEokXSYoJ5Y3bxxCtJSQfbz/Ns1/7dibVV/xt+UFOnBEVt0sHdGLeCN9a9yiKwt+uGUyHcCEw98aGDDYc9Z5mA8DSHzNdCfwCC4lVuTOwcwyf/+xirh8j/FGjQwOZ2i+Rd+8cx4JR3YwOr9nMGJDksvfyZsJbY3fw+g8ZAAQH2Lh5fIrXXrs+RvaIdf3erz6YZ4mNrnc2n3CtbxjbHRCq00laW7yc4bU4vWdAgIcNsJBo3Q3ExOzUKrxJ0aEkxbRuZKOzrPBKrMDPpvZySYq/u+UkezOLmvS8imo7d725jU92iKptaJCNV24eybyRDdzwmGV+153tr3s+P/cFY+yTrITTjxfgsFRrlviGPp2iePnmUS5vzn+uOcqfvtjPr5buZvHb23lm1SEyz5l7Z3n9kXze2iRuhuMigvnL1YPrdsH4iMToUB6fO8h1/NDHuymp9E43hqqqLnXm4EAbVw61hvdufaTER/DXa4aw7dHp7H5sJv+9dbSrNdhqJESFMDpFjA1tP3mWPC/Z+ny5O9s1o3f18C6uewdfERhgY3JfUeU9fbaCo3nmbgdOzy9lw7EzgLAZc/fUdrY1nzxTbvmxjHZNRDxc/IuGz0/5jekrvHklla7vy5baEbnjnjBnyYRXYlaiQoN4RLOwUFX4w+f7Gt1FPVdezY2vbebbQ6KNLTo0kLfvGOtZmdM94TVDxbSyGPZ96vka95gl9dPjYr3FRwpXSXzIuLSOPLNQ/+x49fvjvLflFMv35vDPNUeZ/OS3prWPKaqo4aGPdruO/3zVIJ8nC+5cMbSzaw4181wFj3+x3yuvuzXjLBlaxXrmwCRitEqyxHhma23Nqgor97e+HVhVVV5Zr4vx/GRiaqtfsym4tzWvNrla83tbdC2URWPrCtE5hatqHSqnz5p7c07SCJMfgZ7T6j4W0w2u/BeMu8eYmJrBTi/O7wIkRoW6OkpyZEuzxMxcPbyL64d+a8ZZlu3KavDanKJKFr60ie0nhOJnYlQIH94znlEpjYhQZWktzbGpwt7HaMrywdFIlcM5cyxpmKBQSL1ErPMPwLmWi59JJI1x+ZDOTO+fWO+5GrvKfe/vMKWFzB+W7SNHq7JdNawzswf7XwTp8bl6kv3httOs9sJM5Ifu3rsNdfdIDKHuHG/rN4I2pp9hX5awMZncN4Hemresr7mkTwJOTbc1B8yb8FbW2Pl4uxBviwkLqmNFBJyn1GzuSrWkERRF99u1BcId38D9u2DEzcbG1UR21pnfbX3CGxxoIz5SfLdIlWaJqbHZFB67YqBrh+avXx2s10srPb+UeS9ucNlppHQMZ8niCY2LlBRni/lYME87c2QiBDRSYenQ3T+xWJ0+JldrrqmAsjPg8HMbWVWp6CSQeA1VVTmQXdLg+Vq7yrtbzLXpsmJvDku10Y+k6FD+cOWgRp7hG2Ijgnli3mDX8SNL93C2BUKFTkqral0V9c4xoVzUK77VMUq8R3JMmOtmdlN6Yav+rQFeXX/ctb6rPp0OHxEbEczIHmKTfNuJQs6Vt+7P4StW7M3hbLnYRJ83oqtux6jRMyHStU7Pl3O8lqY0X+8A7DEBuo0Gm+/E27yNM+ENsCkM7hrjldd0zvHKhFdieoZ268CCkUKcI6e4kn+uPsLRvFLySsQP757TRcz/z0ZX3/+gLtF8vHgC3eKaoFhnxvndkCgYNK/h80oADLvBf/FYmV7uc7wmSngLjsAHN8FfusCTafDsQFj/TF0LKl9wbA38dxb8tQv8rRu8dAnsX+bb92wnlFTVNjqrezDbPJsMBaVV/OaTPa7jJ64dYmjb79R+nVioiTDll1Tx6Gd7W/xaX+3OplyzOZo3sqtPvFglrcNZ5bU7VL5uRVvz0bwS1mjtxAOSo/0+2+wcl3Ko8N3hfL++d1N5183a8YaxFwqduVd4pXCVxTm2GtBG/9ztGS2A3aGy+7TQ6unTKYrw4AvV6VuCc463qKKG8mof32P5CJnwtiMemtWXyBDxw//SunSmP/MdY/68mlnPrWP+Sxs4o+0Qj0/ryHt3jnO1MDSKGRNegEv/CPF96j83+wmITfFrOJalQzdIHCjWx9eJiqrR5B+GV6fDgWWgat6jJVmw+g/wyV3gK7XP/Z8Ja6uTG/XHsnfChzfB1td8857tiLCgAJdwVUNkFVWa4gtXVVV+vXSP63Nz0djuXNInweCo4NHL+9NFs0L6cnc2n3sYYfHER9v1duZrZTuzKZnt1ta8vBVtze7V3TsnpfpFbM2dOvZEJpzjPZxbwpYM4RM8NjWOXokXtnt3jQ1z2UAelxVea+OuV+K+4W8BjuWXumzFvNHO7CTZzZrIqkrNMuFtR8SFB9crT34wp4TKGtEOOmtgEq/fNpqo0GZUKeoIVg1pbZjeIzIBfvINTPs9JA0R88UDroLbVsCYO42Ozlo41ZprKyDje2NjAZHYVp6r/9zeJeILq6q0/v+qy5r4X3nd/yqL4MuHQG2gdXrVb2WLcysJCrDVmU2sj0M5JUx5ai0fbTuFw2GcjcknOzJZpVXVuseF8+vL+hsWiztRoUE8OV//HP7tZ3ubreKbnl/K1gwxwzY2NY4eHc2tStpe6dExwqUU/P3RAopboM6dX1JVpyX/8iGdvRpjU+jTKdK1SbP2UD61JlM5rlvdrX8UKjDARnetIy5dzvBaF4ddq/AihKoS+hobTzPZcfKsa+0NwSonSW3Amsg7tW6JJfj+aIFH2f+kmFBeWDSiea1rqqp78HbsBaHemRfwGqExMPEX4j9Jy+kzE354TqyPrKprV+Rvqkrh0HLP17w73z+xuFNTBodXwJAF/n/vNsSDM/rw/ZECCuuZ5QuwKdgdKrnFVTz08W7e2JDBo3MG+L0FM+tcBb9ftg8Q+iZPzR9KREgrv04ddijOgqAwYY3RCib0jOfWCSm8sSGDc+U1PLJ0D6/dMqrJlTunOA/AfAv61LYnZg9K4kB2MTV2lTUH8rhqePOso97adILqWpFg3nZRCkGNdFj4AkVRmNY/kTc3nqCoooYfT55jTGojQpl+oqLazpIfxe9DXESwxw251PhIjuWXkVtcRVlVbes/EyT+J3O7LljV+1Lwc7dDa3EXrBru1Qqv9a2JZIW3HdGYpUdOUSVlzW0VLM4UishgrnZmiXfpOkbfzDi80nctw02hulRvYzYbFQ1UnSVNpkfHCJbeO4HLBicRqG2+dYwI5r5pvVn30BSuH9PNpeq6L6uY61/ZxJ1vbiM93z9VFVVVeXjJbkoqxWflnRPTWndz7nDAxhfgucHw3CB4sie8NgOOr29VnA/P6keaNle45mBeHcVlT9gdqusGPyI4gMsGe664S4ylNW3NFdV23tqYAYh/6+vGGCfkaNa25i92Z7l+1+eP7EpIYMPiRU4vXoDjco7Xmli4nRlgh2ZJFBUSWEdIrbXUbWk2wVhbC5DbT+2IsurGk4TyKjvRLW1nlglv2yUgUPjS7VsK504IwaiEBuajfU1EAoTFQUVhw9ckDoDEelpMm5SoN3BNZbHe6tTg+/ZrwutLGiMlPoJ/LxpJRbWd0qpa4iKCXZ0nf71mCLdMSOHPXx5g/ZECAL7en8u3B/O4aXwP7p/Wmw7hwT6L7e1NJ1zv26dTJL+4tJW/Byt/DZtfrPvYqc3w1lWw6CPoObVFLxsWHMDTC4Yy78UNOFT44+f7mdAzvlEhwnVH8sktrgKETZS3RE8kvqF3pyh6JkRwLL+M7w7nU15d2+R/syU/nnYpDy8c3Z2YMOME18aldSQsKICKGjtrDubyyGxzfJa+49bOfH0jGwJp5wlXDepiso43SeM4nSgCgiF1krGxNJOyqloOay4rQ7rFYPOi0KB7hdeqSs3ym6wdMahztEcBk07RIS4fxyYjE972Q+8ZIuEF8aVgVMJbmA4OD50IgaFw4xKI9sEs2huXQ0ZDlTcFaqu8/57tmLDgAMKCL6yo9EuK5s3bx7D2cD5//vIAR/NKqXWovP5DBku2n+a+ab25eXwKwYHebWLKKCjjL18dBCDQpvDMgmEX2JM0i4KjFya7Thy1sOLXcO/GFrfVDe8ey+LJPXnh22OUVdt56ONdvPuTcR5vhD7eprczLxgtxaqswOxByTz/7VEqaxx8dyi/ST7QDofKa98LsaoAm8JtF6X4OErPhAYFcFGveL45kMvh3FJOFZY3zSXCh+zLKnK1iF7cK56UeM+z7HW8eKVwlfUozdNH9HpMgBDvVUj9wZ7MIpyyFsO7xXr1tTtFW3+GV7Y0tyPmj+rmUmmuj1snpDbfeiJL+3BAEcJQkrZLr+mA9vNxZKUxMWTvFpZAVQ2IQwWGwrX/9U2yC3D1S2JWvV5UeO96OPilb95bUgdFUZjSN5EV90/k8asG0TFCVHWLK2v505cHmPHsd6zYm4PqpfZ7u0PlwY92UVEjOmV+PrV36ys4+z/xfD7/AOQfbNVb3D+tD/2ShKrspvRC3tiQ0eC1Z8uqXfY2aQkRjOju3ZsmiW+YVaetOadJz/nmQK6r7Xb2oCTDk0uAaf3N1dbsLla1qAGxKndS67Q0S+Eqy3H0G31tMTsi0NuZwbsKzQDBgTaXc4uc4ZWYnriIYF69ZRTRoRcmvdeO7Mpdk5ppNq+qeoU3vo/ldsMkzSQyAbqMEOsTG/2vSHxys6iwlot2UlInwcK3Ydgi6Hc5XPIw/Hw79JvjuxhiusDd6+HKf8GAueJ9Zz0BI28X5x018OHNsHep72KQ1CEwwMZN43rw7UOTueeSni5bo4wz5dzz9nYWvrSJ3adbP1v9yvp0tp8QYiZDusZw75SerX5Nqkq8c40HggNtPLtwmMsy5YkVBznWwLzzZzszqdYUcueP7OZ3expJyxjYOZqusWLGbs3BPKpqGx9fqmNFNLGZ3/0+Ykpf8yS8pVW1fKqpVydEhTB9QKdGn5MQGUKUVlSQXrwWxOLzuztP6QrNw7yo0OzE2dYsZ3gllmBcWkfWPzyVT348zcGcEqJCA7liaGeGdG3BL8e5k/ocpWxnbh/0nilUDB01kL4WBlzpn/c9tgbeXwQ15eK47xxRyQ0Khf5X+CcGJ8HhMOJm8Z8TVYXQKPjhH6IVdckdYK+Godf5N7Z2THRoEI/M7seisd15YsVBvtgtBHy2ZBRy5fM/cM3wLvy/mX3p3CGskVe6kIM5xTyz6jAgEshnFgz1jpptY10xASEQ37vVb9M/OZoHpvfhyZWHqKp18IsPd7HknvEEnvdn+FBrZ7YpcM2I5qn9SoxDURRmD0rilfXHKa2q5fsjBUzr33CCtuvUOZev7JjUOIZ6uRrUUpJiQhnYOZp9WcVsPHbGUKXjZTuzXLonC0d1a9Lvu6IopCZEsPt0Ecfzy1BVVW4aWQV7ra7R0aGHVz53/Y2z/b5rbJirGutNkmJC2ZNZxNnyGipr7K0b5zEAWeFth8SEBXHrRan8bd4QfjNnQMuSXZDzu+0Rdzsip7iDr9m/DN5dqCe7QxbCgv+JZNcsKApM/4OoMoPw6v3kHtj+P2Pjaod0iwvn+RtGsGTxhDo+hEt3ZDLlqbU8veoQZVVNV6OvrnXwiw92uSqfv5zZl16JUd4Jtv8VEOahbXjodZ7PN4O7J6W5/j52nTrHf747Vuf83swi9meLro3JfRPrzGxJzM+sQfrcbmNtza+sT3etzVLddTJNU2uutjv44WiBITGoqso7m08A4qP9ujFNt+ZyzvGWVNVSUHqhtZrEpGRug8oisbagHVF2UYVLbNDb7cxOOlvci1cmvJKWIxPe9kfyMIjQ2s6OfO17e6Id78BHt4hqKcDoO+Gq/0CAcWqiDaIoMOXXMO132gMqfH4fbHnF0LDaKyN7xLJ08QT+df1wumhV3apaB/9ac5TJT63lg60nsTsa//n915ojrkRwTGoct1+U6r0gK84K/936iEuDmX/x2lsFBth4ev5QQoPE1/4/Vh9hX1aR63wd792RUqzKagzv1oFO0aKq8/X+XGq0DZrzOVVY7rIoTIuPcCWYZmGqW2XaqLbm3aeL2Jelbf70SaBrbNPnm9Pi9dEuf1mlSbyA+wa+xed3h/tIeyHJzZooy4JtzTLhlbQcp5qdYoOkwcbGIvEPNpte5S3NgZzdvnuvTS/CZ/eKainAxAfhsidFDGZm4oMw86/68Vf/D374p3HxtGMUReGKoZ1Z/eAlPDyrn0u0L7+kioeX7GHOP9fz/ZGGq0g7T53j32tFJTQiOICn5w/1ntWDqsKyn+sCbCkXw4CrcAnDBUd4XRchLSGSR2YJu5cau8qDH+6iqtZOVa2dT3eKecW4iGCP7bASc2KzKcwaKMSriipq2JR+pt7rXv8hw6XkevvFqV61LvEGQ7rEEB8pBOjWHMzzmuhcc3AXq7phbI9mPTdVevFaE+f8bkAIpEw0NpYW4GxnBt9VeJNlhVfSLnEXrEroJ+YaJe0D993Pwz5oa1ZVWPsErHhEf2z6H0Tl1CptRuPvhTlP68df/xa+e9K4eNo5oUEBLJ7ck7UPTebGcd1x3uMfzCnhxtc2c/sbWzmaV8Lh3BIeeH8HQ/+wigG/Xc4Nr2xyVYEfvXyAd5Vsf/yfXlXo2Atu+Ei06veZKR7L2QO5+733fho3j09hQs+OgPjzX/LkWkb96RvOaX6scwYne93OSeIf3NuaV9TT1lxUUcMHW0UyFxcRzLwR5qvk22wKkzXxqrySKlel1V8UVdSwTLNvTI4JZUrfhGY9392LVya8FqHEbfM+KHdDOAAAIABJREFU5WJL3s/u1Cq8QQEKAztH++Q9kizuxSu/1SQt4+xxfd5BtjO3L3pOAZsmJOLtOV5VhZW/gbXOVk4FLn8OLn7Au+/jD0b/BK58HlfF7ts/werHfd8GLmmQ+MgQ/nTVYFY8MInJbjeyaw7mMePZdVz2j/V8ujOLoooaymsclGuiNf2To7hudNPn+Bql8Lj4OQfRIXP1S/pN1pAF+nW7P/Dee2rYbApPzBtCoJb15xRVUlKpzzRvySikvLrpM84S8zAmNc5lz7VyX+4FLfvvbznpEmK6cVyPej2uzYB7m/XqA/5ta/50R6bLeuy60d0vEHZrDHcv3mPSi9ca1LEjsp46c63dwZ5McT/ePznaZ2JSnd1amrNlS7Ok3SDnd9svoTHQfbxYn94KZfW3zjUbhx2W/Qw2vSCObYEw71UYdZt3Xt8IRtwE17wCivYFtP4pWPWoTHoNpk+nKN64bQxv3j6Gvp2EAJVDhdoGZnozCsoobYbQlUccdvj0XqjW5vsmPghdR+nn+14GwZoo1p6PwFH/LGZrOJpf2uCf9VBOCS+vS6/3nMTcBNgUZgwU7egFpVUuGy0Q4muv/5ABCKXxm8c3r1XXn1zcO95lo7XmYK7f3ldVVVc7c4BNYWELNrkiQgJds9TSi9ciWHx+91BuiWuTZrgPFdcTo3XlZ9nSLGk/yIS3fePaBVV1Kf/WUFsNH98GO94Wx4GhcN27MPja1r+20QyZD/Nf16viG58Xc70+SGQkzWNSnwS+un8iP53s2VO3osbByn1euvHe+AKc3CDWSUNg0i/rng8KEx7PAMWZcOIH77yvGx9tO9XI+dMez0vMy0xtjhdg+d5s1/rLPVnkFIub1GuGd/GJbYm3iAoNYmyqaLvfdbqI/JIqv7zv9hNnOZQrfK+n9Uus08LZHJxV3pOF5dQ2IB4mMQn2Wji2VqxjU6GjF/zV/Yy7YJUv/HedhAYFuDpIZEuzpP2Q5RSsCoBOA42NReJ/es/U14dXtu61qsvh/eth/2fiODgKblyizzK2BQbMhYVvQ4D4smDrq0LBuSGFXonfCLApTVK1zCvxwhd87n5Y87j2xsGilTkw+MLr6rQ1v9/69z2PrHOe/yxWbFeTCCb0jCcqVGyurdybg6qqqKrKK+uOu675yUQvKo37iClubc3fHvJPW3NdsaruLX6dtAQhNldjVzl9Vv4umZrTW6DKzY7IgtQVrPKNQrOT5A5iE0hWeCXtA4cDsneJdeIAUZGQtC8S+kKMdkNw9JuWJ26VRfD2NfoMTVgc3LJMCEe0NfrOhuvfF9VrgB1vwaeLxQ6zxFBS4hsXKUnpGNHoNR6prYZP7tYttqb+FjoNaODNJkJ0F7HevwxqvHvT3DXW82d2c2xYLEVlMRz4AvYugXOeq9xWJTjQxqWaynZWUSW7Thex4dgZl7XW1H6J3vOR9iHuc7xr/DDHe7asmi80u6ausWFM6t08sSp3pHCVhbB4OzPoCW+H8CBSOvr2szspWnx3nCmrprLGWhv2MuGVNJ/CdN1Ko/MwY2ORGIOi6LuhlefELG9zKc2HNy6HkxvFcVQy3LYcuozwXpxmo9c0WPQxBGk3RLs/gCV3gL3G2LjaOb0SoxiTEtfg+YSoEKb1b6Vf6bq/60qg3SfA+J82fK3NprfzVxXDoeWte+/zuG605+pVS2YXTY2qwrqn4Ol+8MEi+Ph2+McQ+PgOqGp7c5azBultze9tPskL3x51HVuhuguQEh9Bmmbxs/5IPlW1vr25XvLjaaprRfvx9WO6t8quyV24Kl0mvObmiLbZHhhqyY32oooajuaJz7ChXTug+NjJwt2aKLfYWlVemfBKmo+c35VA3Zbj5qo1F52G12frCUBsCty+AhL7eS0805I6EW76BEI064D9n8KHN0Otf+bUJPXz92uH1PkydxIeHMDz1w8nJLAVypent8H6Z8Q6KAKu+jfYGnm9IQv19e4PW/7e9XBRr47cflH9ic+Enh2542JrJEVNZsO/RCt5jVvyoTpg78diw6mNMaJHrEuF+4Ntp9hwTAgL9kqMZHxaRyNDaxbOKm9ZtZ0txwt99j6qqvLuFtHOHGhTWDCqdRs+zpZmgPT8treh0mYozoLcPWKdMtGS3Yq7T+vtzMN9OL/rxMrWRDLhlTQfmfBKQHxBONtzm+PHe+YY/HcWnDkijhP6w20rRNLbXug+Fm7+DEK1L6hDX8F713u9dVXSdFLiI/jqvok8NLMvI3vEMrRrDHdOTGXlA5MY25okobpctDKrWoVq1l8grgkJZaeB0GmwWB/92ntq6ICiKPz28v68cvMoJvdNIKVjOCN7xPKXqwfzxm1jfGZrYQg1lfD9sw2fP7wCMn/0Xzw+psbu4O63tterwp15tsJSLbbuc7xrDvqurXlTeiHpmoXQzIFJJES1TtCra2yYa8PBSn/f7Q6L2xGB7r8LMMyHCs1OOnfQE16rzfHKhFfSfLI1wSpbkBSsas8Eh4ukF8QuaXFW48/J2SuS3SJtfq7zCLjtK4hO9l2cZqXLCLj1CwjXkqljq+Gd+W2yxdIqxEYE89MpvViyeAKf/exifjNnAN3iWjkT9c1jcEZrKe11KYy4penPdYpXOWph39LWxXEeiqJw6YBOvHHbGNY+NIUliydww9juBAe2sduCrB1Q0Uh18KgXlOZNwpe7s+vYEblTUWPnn6uP+DmiljM6JY6oECHAtfpAHqqP7Nze2XzCtV7UCrEqJ0EBNrprnxsy4TUx7p1pvaYbF0crqCtY5YcKb7ReBc+ymLhhG/tmk/gch10XrOo0AALNa20g8QPuIg9HvvZ87akt8MZlUKbt1KdMFAJV4Q3PTrZ5kgbDrV9BpBCZIWM9vD1PiOtIrE/6WtjykliHxcLc58X8e1MZfC2gXb/7A29H1z5Qm2AL05RrLMJXe7I9n9+bg6MBD2azERRgY1JfIR51srCcY/neTx4LSqtYuS8HELO343t6p+XbOX+cXVRJebUUJjQd9hrdjiiupyXtiFRVdSW8qfERdAivR/Hfy7iP/cgKr6Rtc+YoVGsVKNnOLHFvA/I0x3vsW3hzrlBlBugzGxZ9BCHmVwv1OYn9hFiXU5X31CZ46yqoqL9KI7EIlUXwqZsw1ZxnICqp4evrI7ozpF0i1qe3inEASfPoPKzxz5mglvmtmpGyRpKr6lpHve3OZqWOWvNBL3lhu/HRttPU2MXfxw1juntN9CdVKjWbm5OboFp4LltVnfn02QrOlAnV/+F+qO6CnOGVtCfk/K7EnbhUiO8j1ulr6xdeOvAFvLsAasrF8eD5sPAtSwpE+IyOPUVrdwetnS5zO/zvCigrMDYuSctZ/ggUnxbrQfNg0DUtex0file1C4IjYJwHRWyAr38Ha/7UJnyxB3WJ8Xi+b6coS7WtX9InwdUU4e05XodD5T1NrCo4wMa8kV299tqp8bpwlUx4TchRt4603tZsZ/7xpL4pPswPglUAoUEBxEWISrLV/Nqt86knMQcy4ZWcj3N3tLoUTmyoe27X+0KB2Ok9Oup2uPplCAjyb4xWIDZFVHrj0sRxzh5h21Ti/aqGxMcc+Bx2vSvWkUlw2VMtf63+V0Cgtjm0+wNhsSNpHpc8DMNvvvDxGLcEZ92TwhPc4ptMN47t4TGhvf3iFP8F4wU6Roa4qldbM85SVOE9C7fvjxZwslBsxF42OMl1I+8NnC3NgEsQS2IinCNYgWHQw3p2ROD/+V0nSdGiyitbmiVtmyxNsCogWKjrSiTu7UC7P4ByTSBm88t11Wkv/j/R1mmTHzsNEtNVJL3xfcVx/gEx91yUaWxckqZTmg+fP6Afz32hdXPqIVHQb45Ynz3eMs/r9o7NBj3G68eD5sHiDfB/++CaVyBIEyZLXwsvTYJT1v077hYXzgs3jCCsHqXtOyemttpyxwim9RcaB3aHyrrD+V573Xc3n3Stbxjbw2uvC5AmW5rNS9FpyNsv1qmTLDvS4Ex4gwNt9EuK9tv7Oud4C0qrfe6P7U3knaek6dhrdd/UToMg0PcD8hILEJcGNqGkya734O894YWxsPwh/Zppv4fpjzVPsKe9EpUEt34pfsdAzM2/PhvOnoDSPKEoe3KTEN2QmAtVhc/vh3KtSjjyNu+0y9Vpa5biVS0i43t9PemXusPAkAXwk9XQsZc4Ls4Uv29bXrFsNf3SAZ34/uEp/Oay/lw3uhuLJ/dk5QOT+M2cAV6bUfUnU31gT5RbXMnXB0T3TO/ESEanxHrldZ0kRIUQESw2HdJlwmsu3AU2LWpHVF3rYF+WELcc1Dnar2MKyW7WRHnF9YyxmZRAowOQWIiCw/ocpmxnlgBUnBMCSw53oRQH5B/U1grMeQpG/8SI6KxLZALc8jm8dbWwATt3Av49TsxIOyvmUclw6R916xqJ8ex6Dw59KdaxKTDjT9553Z5TITxeJNJ7l8LMv8oNx+biTHjD4yGhb91znQbAnd/CZz+FA8vAUQNf/T+xsXTFPyAk8sLXMzkdI0O4c1Ka0WF4hX5JUSTHhJJdVMnaQ3nYHSoBttYl7h9uPYVdE++6Yaz3xKqcKIpCWkIkezKLSM8vRVVVS242tEnagP/ugexiqmuFuvzw7t7drGmM5Bg3a6JzFa237vMTssIraTpyfldyPltf1T1G66PPLJnstpTwOGHb1HWMOK4p15NdgJJsWHqnSIAkxnPuFCx/WDtQ4Kr/eC9RCgjULIoQnrLuN2ySxik6LTaNAHpMqL/TJDQaFrwJM/4MitYOvPdjeHUa5B/2X6ySC1AUxVXlPVtew85TrVOwt7uJVYUG2bhmuPfEqtxxKjWXVNa61HQlBlNbLUYXQAhuxqYYGU2L2eEuWOXH+V3QZ3gBcoqtM8crE15J05EJr+R89n/m+XzBIf/E0VYJjYFLHvJ8zZo/gaPt+IhaEocDPrsXqjT/5Ivuqzsz6g3cK/myrbl5ZPygr1M8CNQoCkz4Gdz6he6NnX8QXpkC+z7xbYwSj0zrr7c1rz7Qurbm7w7nkaUJ7lw+pDMx4b4RUXQXrpJzvCbh5EbdWrOXNau7YJxgFdT14rWSNZHPE15FUQIURdmhKMoX2nGqoiibFUU5oijKB4qiBGuPh2jHR7XzKW6v8Svt8UOKosz0dcySBsjWBKsCQyGhn7GxSMyB84ujwfPyS77VHF/n+XzhMfGfxDi2vKz/OyUOgCm/8f57dB4BHXuL9aHluqe1pHFOuM3v9rio8et7TIC71+vXVpfCR7fCil/L2XmDmNAzntAgccva2jnedzbpYlWLxnZv1Wt5wt2LNz2/ke9KiX9oA3ZEoCe88ZHBdI31r8Vjcgf9/ayk1OyPCu/9wAG34yeAZ1VV7Q2cBe7QHr8DOKuqai/gWe06FEUZAFwHDARmAf9WFOVC+UGJb7HXCJsUgKTBosVOImms0p88zD9xtGWacoNtl+1yhpF/GL75vVjbguDqlyAwxPvvoyi6eJW9qvHuComOs8IbFis2JJpCVCe4eRlMuE9/bNMLwiqsONv7MUo8EhoUwISe8QAczCkh81zLPEAzz1Xw7SGRMPdPjvZpdSzNzYtXCleZBKdgVVB40za/TMjZsmoyzgg9nWHdYv0+G+7e0pzVwt9DI/BpwqsoSldgDvCqdqwAU4GPtUv+B1ylredqx2jnp2nXzwXeV1W1SlXV48BRYIwv45bUQ/5BqNV2cmQ7s8TJ2HsADx+24xb7LZQ2S/dGWmPD4/XKn8S/2GuF9Zbzs3HyI5A8xHfvN2S+vt79oe/epy1RnK13QPS4qHm2aAGBMONxWPAWBEeJx05tgpcmwvH13o9V4hFvqDV/sOUkmlYVi3wgVuVOqntLs/TiNZ5zJ3VBzdRLfLMx6Qfc25mHd/dvOzNAWHAAHbQxADnDq/Mc8EvAOWDWETinqqpT0vU00EVbdwFOAWjni7TrXY/X8xwXiqLcpSjKNkVRtuXne8+nTaIh53cl9dFtDFzxnG5L5ESxCSXZnlOMiast0W+O54R22A1Ssdcovn8Gsn4U666j4aIHPF/fWmJT9A2QjPVCKEvimRNu87stregMuBLuWqtXh8vy4c0r4fvnLGtdZEXqJLyapVBzqLE7eH+r+J0JDw5g7rDOXoutPiJDAkmMEkmVrPCagDZgRwSww8D5XSfOKq+c4QUURbkcyFNVdbv7w/VcqjZyztNz9AdU9WVVVUepqjoqISGh2fFKGkEmvJKGGHkr3L8LpjwKI26Gyb+C+3bA+HuNjqxtEBAEN34MiQPrP5/5oxStMoKsnfDdE2IdGCZamf0x6uEuXrXnI9+/n9Vx999NaUULY3wv+Mk3elu56hCt7B/cKOep/UTnDmH0T44GYMOxM1RU2xt5Rl1WH8gjr0T4hs4d1oWoUN+IVbnjnOM9cabMZYMkMYg2YEcEeoVXUWBI1xhDYuiszfEWlFa57JHMji8rvBcBVyqKkgG8j2hlfg7ooCiK866gK5ClrU8D3QC08zFAofvj9TxH4i+yNMGqoHAh5S6RuBPTVagJX/kv0dZpUal/0xKbAvd8Dzd9AlMfhUsf138PT3wPW14yNLx2R02laGV2+k/PeBw69vTPew+8GgK0iv7uD2SFsTGcFd6QGOg0qHWvFRwhNjbmPKP/Gxz8Al6eDDl7W/fakiYxtZ8oaFTVOthwrKBZz31n8wnX2pdiVe6kJYg53hq7SuZZ68w7tjlqqyD9O7FO6Acd/PPv721UVWWXlvD2Soj0y6ZNfSRpSs2qCrkWaWv2WcKrquqvVFXtqqpqCkJ0ao2qqouAbwHNUJBbAKfyxjLtGO38GlVVVe3x6zQV51SgN7DFV3FL6qG2GnK1L/OkIWCTmmESid+x2aDnVJj0kLC9ufZ1IZIE8M1jUHDE0PDaFWse12fB0ibDqDs8Xe1dwmKh9wyxzj8IObv9995WozQPCjQP3R7jvfPdpSgw+g64fQXEaHvxhenw6nTY+V7rX1/ikan9OrnWq5sxx3vyTDnrj4gEeWjXGAZ18U9lLM1NqflYgVRqNowTG6BGayvvZV115uMFZRRVCCFLI+Z3nSRb0IvXCB/eh4FfKIpyFDGj+5r2+GtAR+3xXwCPAKiqug/4ENgPrAB+qqpq8/pYJK0jb7+uAivbmSUSc5A0CKb8SqxrtYqjvdbzcyStJ+MH2PiCWIfEwNwXmieE5A2GXqevpXhVw3hjfrchuoyEu9dBz2niuLYCPr0HPr9fdABIfMKwbh2IixDV9TUH8lCb2OHw7hZ3K6IePomtPtytiaRwlYHUmd+dYVwcrWTHSff53VjD4nC3JrLKHK9fvqVVVV2rqurl2jpdVdUxqqr2UlV1vqqqVdrjldpxL+18utvz/6yqak9VVfuqqrrcHzFL3JDzuxKJOZlwP3QZJdaZ2+GH54yNp61TVSKSGqeMxGVPinZ+f9N7BoRqFao9H8mNjobIcEt4Uy72/uuHx8Gij4RugVNuZPsb8N+ZcPaEp2dKWkiATWFyX9HWnFNcyf7s4kafU13r4KNtQqwqKiSQy4cm+zRGd9LclZqlcJVxOP13gyMbdz4wMTtNIFgFkByjV3izLWJNZESFV2I1snfq687SV1UiMQ0BgXD1f4RoEsDav+l+2RLvs/LXwtoCoP8VdQWk/ElgiJjlBSjNhePfGROH2XEKVgVHiXEcX2ALELoFiz4W7eYgvjNfmqRXlYqzhG/yoeVi00TSKtzVmr9tQlvzyn05nCkTXWrXjOhCeLAfxOU0usWFE2ATmyHpsqXZGM5m6KMNaZMt7WrgTHjDggLo0ymykat9R5J7wisrvJI2g7PCGxwJHXsZG4tEIqlLfG+Y/phYO2rgk3uEQIfEuxxeCT++KdYRCXD5c2Ke0yiGyLZmj5SdgfwDYt19nO8VtHtPFy3Ozi6oynPwznx48SJ4ZiB8eDO8dx083Q/WPyPFxlrBxN4JBGpJZFPmeN/drLcz3+DHdmaAoAAb3ePCAdnSbBju7cwWnt+trLFzQOtoGNI1hsAA41I49wpvjkx4JW2CmkrI3S/WyUOlYJVEYkbG3AUpE8U6d69ulyPxDuWFsOzn+vEV/4SIeOPiAeg2VlcaPfA5VMub6Tq4z++2xo6oOXToDrevhFG3aw+omuCjm21HdSms/gNsfN4/MbVBYsKCGJ0SB4iKV0Fpwxt8x/JL2Zh+BoBRPWLpmxTllxjdcQpXZRVVNttKSeIF2ogd0b6sImo1a6thBgpWAYQHBxITJkQzs6VolaRNkLdPVI1Azu9KJGbFZhPiScHazdz3z8KprcbG1FZQVfji/0TrMMCwG6HfZcbGBOLffLDWUl1TBge/NDYes1FHsMoH87sNERgClz8LU37t+br1T0ONNWbfzMi0/qKtWVVh7aH8Bq97r0511xgrGnfhqowzcmPKr9RU6nZEiQOM0VzwEu6CVcMNnN914qzyyhleSdtAClZJJNYgtgfM+otYqw4hrlRdbmxMbYG9S2D/p2Id0x1m/dXYeNwZslBf7/7AuDjMiFOwKijCGO0JWyMt1BVn636/SprFFLc53jUHc+u9prLGzsc/ngagQ3gQlw32n1iVO6luwlXpsq3Zv5z4QSiog6WruwA7TplDodmJc443v7SKGrujkauNRya8Es9kuQlWJUvBKonE1Ay/CXrPFOszR2H1H42Nx+oUZ8GXv9CPr3oBQqONi+d8EvroG5HH1kBJ/Tf+7Y6Ks7p3fLcxEBDk/xjUJtwAOmR7a0tJi48gpaOYjV1/uIDq2gv/vpfvzeZcuehQmzeiK6FBxoxkpcXr4kLHpXCVf6kzv2vthHenVuFNig6tIxplFM4Kr6pCXon5dUNkwivxjDPhDYmGuDRjY5FIJJ5RFLjynxCqtTttfhGOrzM2JitRVQKbX4K3roE3roDX50BlkTg37l5InWRsfPXhFK9SHaIaLYETG3FZR/nCjqgppDTysxIcKV0PWoGiKEzt1wmAkqpatmUUXnDNO5uMb2eGutZE6dKayL+47IiihHidRckrqSRTax0ebvD8rpPkGDcvXgu0NcuEV9IwNRWQ5y5YJX9cJBLTE5UEc57Wjz/9KVQ27lXZ7ik6Df+ZCMt/CcdWQ8Y6OKvZwcd0h2m/Mza+hhh0DSha5Wr3+8bGYhacdkRgXMLbbYwuJFcffWZBiP8FlNoSzjleuFCt+VBOCdtOnAVgXFocPROMs3BJjAohIlj8jsqWZj9SmC46nQB6Tjam08NL7DxpDv9dd6xmTSQzGEnD5OwFVWu5kvO7Eol1GDQPBlwl1kUnYdVvjI3HCnx6L5w9Xv+52srGZzKNIjIRek4V6+xdkHfQ2HjMwAkt4Q0Mg84jjIlBUWDBm/q/zflkfC+skyQtZnRKHJEh4vdyzXkJ77ubT7jWi/xsRXQ+iqK45njT80tRpSWVfzjips5s9XbmU+ZLeK1mTSQTXknDSMEqicSaKArMeQYitArIj28KH1lJ/RQchePfNXy+LM/cf39D3Tx597RzT97KIsjZI9bdRkNgsHGxhMfBTZ/A3eth9pNwxT+g/1xxrjQHPr9P+vG2guBAGxN7C3uw4wVlpOeL+djy6lqW7sgEoGNEMDMHJhkWo5NUbY63uLKWs9pcscTHHFmlry0uWOVMeANsCoO7xhgcjaBOS7NMeCWWJttNsErOGkkk1iKio5jndbLs58JPVnIhzrY3j9cc8X0cLaXvZWImFGD3h+Awv2Kmzzi5SReM8qcdkSeSh8DYu2DkrTD3ed0/+eAXsONtQ0PzOqoqNssPrxQbST5mah21ZlHl/WJXNiWVtQDMH9WN4EDjb3XdrYmcibnEh9RUQMZ6se40CKI7GxtPK7A7VHafFloSfTtFER5sjm6jui3NcoZXYmWcFd7QGIhNNTYWiUTSfPrOFr6xIHxkv/p/xsZjVkKbsGMeHu/7OFpKcDj0v1Ksi07ByY3GxmMkdeZ3LzIujoYIjYZrXgFFu/1a/jCcOWZsTN7i5Cb493h4eTK8uwCeHwlvXA5nM3z2lpP7JqIoYu1MeN/ZootVXT+mm8/euzn0lMJV/iXjezGKApav7h7LL6W0SmzgDDOJYBVAZEggUaEi+ZYVXol1qS6DfG0WrPNwXN8oEonEWsz6C0R3Feu9S2DvUmPjMRtnjsGqRz1fExgG/S/3TzwtZcgCfd2exatOaP67ASHQZZSxsTRE93Ew8UGxrimDpXeB3eJtrrn74K2rIP9A3ccz1gvF84qzPnnbhKgQhnYVScCW44VsSj/DLq39c2LveHp0jPD0dL/hXuE9LhNe39OG7Ih2nNR/d8wyv+vEOccrZ3gl1iVnj94WJud3JRLrEhoj/GOdfPmg9GsF0Xq5/X9CmTlzm+drZ/0VwmL9E1dLSZ0EUclive8zqDH/DYjXqSrRrfS6joYg470qG+SSh3VBrcxtsO4pY+NpLeufFm2k9VF0UugI+IjJfRIAqHWo3Pb6Vtfjiwy0Ijof2dLsZ5zzuyExQjHdwrgLVg03XcIr5njzSiqptZt7lEYmvJL6kYJVEknbIW0yjLlLrCsK4fP727dYTlkBvL9IiAbVaNWWLiNhwVvQd46myKxA9wlww4cw6jZDw20StgAYfK1YVxXBEROLbPmKk5t1ZwEztjO7ExAkWpuDwsXxur/DqS3GxtQaDq9q5Lxvfh5LKmtYuT/HdVxRI/79FSA23EDBsvOICg0iISoEkBVen3PmmK64b3E7IoAdmiVRVEigofZa9eGs8DpUyCupMjgaz8iEV1I/WW6CVclSsEoisTzTH4O4NLE+vBx2vmtkNMZxeJWYMzz0pThWbKLadvtKGHAlXP8uPJoPvzsDty+HPjONjbc5DFmor3d9YFwcRnHCbX63h8kTXoD4XqJ7AERH1dI7RZXaijgaacn2UcfBHz/fz4HsC//OVODed3+kotruk/dtCc4qb8aZcuyOdrzh6GvqqDPPMC4OL1BfsWQ7AAAgAElEQVRWVcvhXPHzPbRbB2w2c40XWsmLVya8kvpxVnjD4nRFSYlEYl2CI+Cq/+hiOSsegXOnjI3Jn1SXi3bud+cLmyGA2BSR6E75dd0qgM0mKqZWo9MgSBwg1kdWtT9V7gxtftcWJFqarcCIW0RXAQhxp+WPGBpOi+k21vP5M0fg6GqvvuW58mo+3ZnZ8FuWVvPlnmyvvmdrSNMS3upaB1nnzK9qa1nqzO9ONy4OL7D7dBHOvRGzze+Ctbx4ZcIruZCqEig4LNZSsEoiaTt0HwsT7hPrqmL47Kftw8Imawe8NAm2vqo/NvwmuOd7y8931UFR9Cqvowb2fWJsPP6kugyyfhTrLiOFcrUVUBRhHxbZSRzvfBv2f2ZsTM3FYQdHredrqorh7WuEQFdZgVfeNr2gjBq750rpoZxir7yXN0iTSs2+p7pcV2pPGgJRxnswtwb3+V1zJrzuXrzm3sSRCa/kQrJ3IxqCkPO7EklbY8qv9Srg8e9g22vGxuNLHHYhpvPqdN1HNywOFr4t/FBDooyNzxcMno+YYAR2t6O25lNb9KTL7PO75xMRD3P/rR8vuw+Ks4yLpzmoquiccKpjn094PKRM0o93fwDPj4Zd77daR6BDWOOzmTFNuMZfpMbr85fHpXCVb8hYD3ZtltTidkQAO0+5KTSbyJLISbJsaZZYGilYJZG0XQJD4Or/aMJMwKrfth0fUHfOnoA35sDqP+qJUM9pcO9G6H+FsbH5kpgukDpRrE9thsLjxsbjL9wTrpSLjYujpfSergvLVZ6DTxdbo/tizeOw/XWxDoqAm5fBlc/DtN/B/DfgF/vh1s/h+vchuou4rqIQPrkb3rq6VT+fqfERDOwc7fGaK4Z2bvHre5s6Ss2ywusb3NuZLT6/C3qFt1tcGPGRIQZHcyFJsqVZYmmy3QSrOkvBKomkzZE8VAg1AdRWwCf3iGpoW0BVRfXoxYvg5EbxWGAozP473LjE8i1uTcJdvGr3h8bF4U+cbYy2wMbnSc3KpX+EhH5inb4WNr9oaDiNsuFfooMCICBYCL6lXQIjbhI+wwOvFhtsAH1nw083w9h7cHUgpH8rBOR++AfYG2mJrgdFUfj9FQMJDqz/VvbuS9JM48ML0D0unABNdEgqNfsAVdUFq0JjzOvD3USyiyrILRbV6mHdzGmLFxUaRFSI2DyXLc0S6+Gs8EYk6DuyEomkbXHxL3Qf0NNbxM2r1SkvhI9vE9Wjak25NWkw3PUdjL27/egR9L9SJPkgWkjbugVVTQVkbhfrzsOFQJsVCQoTVkU2rQ33m8cgZ6+hITXIjrdh1aNirdhg3mvC/swTIVEw+wn4yTeQOFA8VlsBX/8OXplct7usiYxJjePDu8czSfPiBVFJ/fPVg3hkVr9mv54vCQ600S1WzDym58uE1+ucOQrnToh1z6kQEGhsPK3EaUcE5pzfdeKs8sqWZom1qCwSHxogBaskkrZMQKBobQ7QKjDf/hly9xkbU2tIXyuqui6hJgUuegB+sgYSzXXj63NCo6HvZWJdeAwyfzQ2Hl9zeivYq8XaCnZEnkgeAtN+K9b2amFV5CNLnxZz4HNY9nP9+Ip/CEuvptJ1FNz9nWh7dn7+5OyBV6bCyt8IAbJmMKxbB968fQz7/ziTHb+9lDUPXsKisT1QTHj/4mxrziqqoLLGWl01h3NL+OtXB3jg/R08veoQJ8+UGx1SXdqQHRGYX7DKiTPhzSupotZu3jEMmfBK6pK9S1/L+V2JpG2T0FfcdIK4uf7kHqitNjam5lJTKW6S35wLJZrQT0w3uPULuPQPEBhsbHxGUaet+X3j4vAHGRaf3z2f8T+HFG0OO28/rP6DsfG4k/4dfHy78A0G0YY94ubmv05AkGh7vnej/mdVHbDxeXhhHBz5ptkvGR4cSGxEsCkTXSdpCUK4SlUh44x1qrzPfn2YGc+u46V16Xy6M4t/rTnKlKfW8s7mE0aHptOG7IgAdmoV3qAApdFZdSNxClfZHSoFpea9f5AJr6QuUrBKImlfjLtXr4rl7Ib1TxkbT3PI3SeqQhuf1x8bvEDYDbWFxKc19JoG4R3Feu8SsNcYG48vcQpWKTbrzu+6Y7OJ7ovQGHG86d9e97BtEZnb4f0b9Gr6RQ/ARfe37jU79oRbPoe5L0CoVsUqOgnvzIMlP4HS/Na9vslwF646bpG25hV7c/jH6iMXPG5XVR79ZG+dSqRhVJXqnwPJwyAy0dh4Wkmt3cGezCIABiRHExpkXl94q1gTyYRXUpcsN8GqZClYJZG0eWw2cbMZpN2IrXtKn4c0Kw4HbHwBXp4MeVobdkiMmCOc9wqEmbf9y28EBMGgeWJdfsYcCZMvqKkULc0gvrNCzVsJaRYxXeHyZ/XjT+8VM+pGkX8I3r4WqjU7nRG3wPTHvPPaigLDb4SfbYVB1+qP7/kIXhgNO99tM3PoaRZUan5jQ8NK2irw5oYMv8XSIBnr9Y2YNmBHdCi3hAqt5d3M7cxgHWsimfBK6uKs8EYmQXSysbFIJBL/EJcKM/8s1qodPlkshIDMSFEmvHUVrPy1foOTMhEW/wCDr/X83PZGnbbmNurJm7kdarWbLKv57zbGoHkw5DqxLs2Bz+8zJvE7d0pYCFVoCfeAuSIZ93brcGQiXPsa3PCRGEsAqDgrLJrenNsm7NOcLc1gHeGq/VnFHs/va+S8X2hj87t1BKtM6L/rTpJMeCWWo+IsnNV28mQ7s0TSvhh5q/CpBSg4BGv+ZFwsNZWw9TX472x4YSx8eIuwndm7FF4cD8e/E9fZguDSx4X3Z4duxsVrVrqMhLieYn3oK6g0wY2pt3H33+3RBtvYL3sSOnQX6wOfC3Vkf1KaLzaYijPFcdoUTUnahy2WfWbAvZvEuIWi3aYe/w5enADrn7F0e36n6BDCtPbU4wWlBkfTNKJCgxo5b7AasqrqM99hseJzz8KoqsqW43o3h1ktiZy4tzTnyJZmiSVwb2eWCa9E0r5QFJj7vD43uPGFumJA/qK6DN68Er78BZzcAPkHYf+n8MYcYTlUKeaaSOgPd30LF90n2rIlF6IoepW3thIOLDM2Hl/g9N9Fge7jDA3FJ4RGw9Uv64nf8oehMN0/711ZLGZpnc4NXUbBwrd1b11fEhIJs/4qLIw6DRaP1VYKAa+Xp5h/7KIBFEVxzfFapaV5zhDP3X6Nnfc5+YfE3DeITVtfbsb4ELtD5eV1x7j4iW9ZtksIMAYFKDgc5lU+BkjuICu8EqshBaskkvZNdGe4zClapYpWwio/VyG++zuc2uz5mrGLRbKbNNg/MVmZIfP1dVtra66thlNbxDppcNud3e4xXvhmA9SUwdK7wF7r2/esqYD3rtedGxL6w6KPRCLqT7qMFL/r0x/TvaVz98Cr02H5I/rnU8U50QGy813IP+zfGJtJWoJIeM+V13C2zLyqtk7umpRGlw5h9Z4bkBzNwtEGd9ccdVNntuj8rqqqPPTRLv7y1UEyz+lV0hq7yjUvbuRonnm7AaJCAokIFpsMMuGVWINs9wqvFKySSNolg+dD/yvE+twJWPWof97XYYfCDNHK7Ik+s2H23yCo/hswyXnEpenKxcfXixnotkLWDqjVbg7buir35Ef0jejTW2Hdk757L3sNfHQbnNCq5x26w02fQHic797TEwFBcPH/CQuj1EvEY6oDNr8I/x4LS++Gp/uJDpBPFwuhq3cXijEtE2I14ar4yBA+umccwYF6yhAWFMD1Y7rz3p3jCA82uKXZZUek6GM5FmNrxlmW7qj/s7moooYnVhz0c0RNR1EU1xxvjokTXoN/SiWmwlnhje5ieUl3iUTSQhQFLn8OTmyE8gLY/jo4asEWCFFJokU2LrVlr+2wQ9EpIT5TmK7/d+YYnM0ARxNm81R7y967PTNkgVY1V4Xy7cUPGB2Rd3AmZKBba7VVAoLgmlfhpYlQUy4S3l7ToNsY776PwwGf/QwOLxfHEYlw06fmELGMS4ObP4Nd78PKX4mEtuh0/T7Th1fAezfAbV95X1yrlaQmuCW8+aWM7GHuGU2Akko71bWitfaywUk8s2CYOaxyqkrgxAax7jwcIhOMjaeFfLbT80bk6gO5lFbVEhlizrStc4cwjuWXkVtcid2hEmAz1+8cyIRX4qTsDJzTZiBkO7NE0r6JiIcr/gEfLBLHO97Sz639m2gvbChpsteKpLbwGBQe1xPawvSmJ7WeiEpq3fPbIwOvEe2fjhrY/WHbSXhdM+YK9JhgaCh+Ib4XzPwLfPGA2PhZeqfwnA6J8s7rq6pQP3cmkCExcNNS4ZVrFhQFhl0vWleXPwx7P2742pMbhF1N6iT/xdcE0uL1tvDjFqjwAmw8VuBaXzqgkzmSXYDj6/TvFAurMxdVeP5edKhQWmnehDcpWlR4ax0qBaVVdIoObeQZ/secf3MS/5PtPr8r25klknZPbA9AQTgtuqPCN7+H0A7QoSuccVZqnUntieYntdFdRdW4Y0/I3Q+ntzR87bBFzfyDSAiPEzeDh74UvsU5e6w//2yvgZObxLrTQOPabf3NyFuFBcuhr8QG0opHhI+2N1j3pGgTBggMgxs+MO/PSUQ8TPi554QX4Nga0yW8KW4tzVZJeDccO+Naj0+LNzCS86hjR2TN+V2Avp2i+ILsBs/HRQTTMTLYjxE1j/O9eGXCKzEvUrBKIpG4s/klLkx23fji/ua9XnRX6Jgm2hLjeor/d+wJsSl153HLC+G/s4Q10vmMXdw2lXj9wZAFIuEFIV5l1kSmqWTvEgJO0Pbbmd1RFLjyX/DvbVCWJ2yKes+EAVe27nW3vALfal7ctkBY8KYQy5J4nZiwIOIjgykorbaEF6/dobIpXSS8afERdXxXDcXdjii8o6XvXReM7sbz3x6lqrZ+ReYbxnQnKMC8sktJ51sTdTOfgKBMeCUCd0uiZOt+aEgkEi/h/pnQJBSI6aoltFoy61yfn9R6IjwO7lgJG/8t5k0rCoVC7Jg7YdC85v4pJE76zBItqlVFsOdjmP4Hy9p3AG52REBKO0p4QVQ3r/o3vHOtOP78Pug6Sqist4Q9H8NXD2kHClz1H+GFa3YSB0BEApTlN3xN2mR/RdMs0uIjKSgt5PiZMhwOFZsJZx6dHMguprhSqIKP79nR4GjcyDsAxafF2sJ2RACdokP51/XDufvt7ajn7TNP65fIz6f1MiawJmIFayKZ8EoEzpvbmO4QYaIPNIlEYgzB4Z7PB4bB1N/o1drYFAjy0s5/WKx47am/8c7rScS/zcC58OObUJItZt96TjE6qpZzws0juj1VeJ30vhTG3AVbXhbiTZ/eCzcubb4n9eFV8MnduLo5LnuyrpWVmQkMFnZNK39V//lu43RVZ5ORGh/BloxCqmsdZBVV0DW2kc9bA9ngNr9rqoS3DdgRuTOxdwLBATaqah1EhAQwY0ASVwxNZnKfRFNviMCFLc1mxLz1cYn/KM3Td8nk/K5EIgEYMNfz+RE3ixm6fpdBYj/vJbsS3zHkOn29+0Pj4mgtDrs+v5vQT1Q82yOX/hHi+4p1+rew+T/Ne/6JjfDhzUKFHWDyr0UnhZUYtximPCo24NwJiYbr3zOdQrOTukrN5m5r3ug2vzsuzUQJbxuwI3Lnu8P5rpbm2y9K5dmFw5jar5Ppk12A5Gj9908mvBLz4t66aOEZCDPhUB38kPkDT219iqe2PsX3md/jUOufzZBITMmIm0UyUR+RneCiZs7wSoyn+3iI6SbWB5ZBdbmx8bSUnN1QVSzWbd1/1xNBYTDvVbAFieNvHoPcfU17bs4e4VXr9DEeew9c8kufhOlTFAUueQgePADzXoPE/uLxqmLT+vBCXS9eMwtX1dgdbDleCAhhpfjIEIMj0qgshpMbxbrLyDbRmbhqf45rPWOAtdwIosMCCdOUu3OKKgyOpn5kwiuBbJnwepOzlWe5aflN3PPNPfxv///43/7/sfibxdz01U0UVhYaHZ5E0jRCouCWL2DwAv2GGgX6zIbbV0BMF0PDk7QAmw0Ga+2q1aVC6deKZLQj/93GSB4C034r1vYqWHIn1DRSYTlzDN66Rsxzg/DWnvlX01ZDm0RYLAy+Fibcpz+2b6lx8TRCWoI1Et7dp4soqxbe56ZqZ05fq3cmWNiOyEmt3cHqA3mAaA8e1CXa4Iiah6IorjleWeGVmBd3hebkocbF0Ub41fe/Ynf+7gse312wm1+tb2DWSCIxI5EJMO8VeOgoLN4o/n/D+2JmV2JNhizU17s/MC6O1pDRzud3z2f8zyBloljn7YPVf2z42uIseOsqofAMYgNr7gvNn/01K/3mQIBm37LXvAlvt7hwnJ2qx/JLjQ3GA051ZoAJZkp468zvTjcuDi+xJaPQ5cU7Y0AnFAtuPjnneHOLK3E4PDg8GEQb+YSTtApnwhub0n68DH3EsXPH+CHzhwbPb8jawJGzR/wYkUTiBcI6QKcB7XdWsi2R2E/f2Dy6Wmg4WAmHHU5uEOuOvSGqk7HxmAFbAFz9HwiNEcebXhD+s+dTXigqu+dOiuMeF8H81yEg6MJrrUpojF7xy9svfL1NSEhgAN3ihFCVmSu8TsEqRYGxqSZJeOvYEcW3CWeRVftyXesZA63VzuwkSZvjrbGrFJRVGRzNhciEt71TnC0UO0G2M3uBvQV7vXKNRCKR+AxnlVe1m7oKVi+5+6BSa8Vtb3ZEnojpCpc/qx9/ei+cOwX5h6A0H6pK4Z35kH9AnE8aIkSdmmoXZiUGXaOv9y4xLo5GSNXmeDPPVVBZYzc4mgupqrWzLUPMQQ/qHENMuEk2RnL3QUmWWPeabvnuBFVV+Xq/SHijQwMZk2rNwlNnN2uiHBO2NVv7p0TSeuT8rlcJDWxcqbYp10gkEonPGHQtKNrXv9XamuvYEbVjwar6GDRP38woyYZ/DIUXxsBTveC5QZC5TZzr2EtYGDkrwm2NPrMgSLP52buEC4xNTYIz4VVVOHHGfAJyO06ec6kGm2p+t43ZEe3LKibznBB6mta/E0EB1kzNktysibLOyYRXYjakQrNXmdB5AqEBDSe0oQGhXNRFViUkEomBRHWCNM2DN+tHKLDQmIW7YJWs8F7IjL/oM6yqW9XQqVgc2Qlu+kTM57dVgiOg72yxPnu8rk6JiUhLiHStjxeYb453g5sdkakSXqcdkWKDnlONjcULrNqnqzPPHGjdEQ13L14zKjXLhLe9IwWrvEpUcBSLhy1u8PzdQ+8mOtha6nsSiaQNMtTNk/f9RfDVLyHzR+PiaQoOB5zQ5nfj0iC6s7HxmJH0NWCvbvh88nDo0N1/8RjFoHn62qRtze7WROkmnOPdpCW8gTaF0SkmabOtLNI9uLuObhO6M6u0duaQQBuT+lh3IyrJ3Yu3WFZ4JWZCVfWEN65n221v8jO3DbyNR8c+SmJ4Yp3HF/ZdyB2D7jAoKolEInGj2u0Gu+AQbHkJXpkCyx8xbQso+QegQrN2k+rM9bP/M8/n078VGwdtnV7TIUS7p9n3iSn/zKnuCW++uRLe8upadpwSXQFDusYQGRJocEQax77VOxd6Wb+d+cSZMg7mlAAwsXc84cEm+XtuAXKGV2JeirN0awLZzuw1FEVhYb+FrJy3kscmPOZ6PDIo0pJS8xKJpI2Ruw++/EX95za/CLve8288TcXdjihFzu/WS1WJ5/P2Kt2/tC0TGAL9Lxfr4kw4tdnYeOohKTqUsKAAwHxKzdsyzlJjFxtfE3qaSJ2/jc3vOsWqAGYMsKY6s5OYsCBCg0RamS1neCWmwr2dWSa8XifQFshlqZcRaBM7dttztxsckUQikQBbXwXVQ8Vr83/8F0tzOOE2vysrvPXTeZjn84kDITDYP7EYjcnVmm02hRStymu2hHdjugnnd93tiCIShdK4xXHaEdkUmNY/sZGrzY2iKCTHiLbm7GI5wysxE3UUmhv5kpS0iLDAMAZ1HATA3jN7qag134eARCJpZ+TsaeS8Ca3TVFWf3+3QHTp0MzYeszLqdggIafj8uIY1JtocqZMhXEvW9n8KdvNVtp1zvIVl1Zwr9zB77WecglXBATZG9og1OBqNnD1Qqgk89b7U8nZEBaVVbDshRjRG9YijY6SH31uLkBQt2ppzi6pwOMw1GtOknxZFUe5vymMSC1FeKGYhAFDaxE6ZWRnZaSQAtY5a9uQ3cqMpkUgkvqYxvYZQEwrrFRyGsnyxlnZEDRObAgv+p9vyuDPh5zD8Rr+HZBgBgTDgKrEuy4eMdcbGUw9pCeYTriqurGHP6XMAjOjRgVCt7dpwjqzS172mGxeHl1h9IBdnTjjDwurM7iRrc7zVdgeFJtrAgaZXeG+p57FbvRiHxF9UFgtD+id76558AUH6WuJ1nAkvwPY82dYskUgMZuA1ns+7K9yahTp2RDLh9Ujf2fDAHpjxJxhxM1z8f7B4ozhubzoSJldrdheuOm4S4aqtxwtdidj4NDPN72rtzIoNek4xNhYv4GxnBuvP7zpxtyYy2xyvRzkwRVGuB24AUhVFWeZ2Kgo4U/+zJKbFYYd3F8LJDXUft1fDO/Ph5mXS19AHDEschk2x4VAdco5XIpEYz+D58OObcGrThecCQmDig/6PqTGk/27ziIgXFd32TvfxEJUMJdlw4HOY84wQtDIJdZSaTeLF6+6/O6GXwfO75YWw5WXY+wkUHBSPJQ6AMJO0WbeQsqpa1h8tAKBfUhTdO9bTkWFB/j979x0eR33tf/w9q96LVSxbLpJ7w024EYxxhQQCIZgQTLuQmwKEEghgekuAJLQU+NFvClzCBQLEIYBtMA7YxrjhIuMiy11Wsazepfn9MbvSylZx2d3ZXX1ez+PHo5nRzsHAWme/33NO7wS30UTltYzJ9J/pL92t8K4AngC+cf7u+nUrcI53QxOP2/7hscmuS0sTfPor38bTQ8SFxzEsaRgAXxd9TWNzo80RiUiPFhoOl78NU66HiKO2LzfXQ1GuPXF1xjRhj7NDc3wmJA6wNx4JHA5H246GunLI+8TeeI6SnRLbeuwvjatWOhPeqLAQxmYm2hdIxUF4YQYse7Qt2QUo3Gx9YBfAlm8vpqHJahw4d1RwrO4C9HFb4T3kZ7N4u0x4TdPcY5rmMtM0p5qm+Znbr3Wmafpf9b907ZsPur6+5wvr0zTxONe25rrmOnJL/eyHSRHpeSJi4Zxfwy/z4JZc+OHf2659fK+1I8hfHM6DKuf2v4Fn9LxtuXJq/Hhbc0J0GL1irK7Z/jCL90h1A7kFFQDkDEwiPNTGxlAf3gllezq+tugXUFHg23g86ON244iCo34XoLdbwnvQz7Y0H2/TqosMw9hhGEa5YRgVhmFUGoZR4e3gxMOajuM/vqZ678fRA+Wk57Qea1uziPiN0HBI6AvDzoGhzo1bRbmw/q/2xuVO44jkVPSd0LYr4JsPoKHG3niO4trWvPtwte2dbb/Md9vObOf83erDsHVR59dbGv13Xng3GptbWLrVSnj7JkYxqo8fNgk8SRluW5oPlfvXVJLj/ejmN8B3TdNMME0z3jTNONM0g+ffUE/Rb1LX1xP7Q2zwfNLkT8ant805VsIr4p/2Vezj4ZUPM+etOcx8cya//OyXbC7xwxE93jLnYTCcHVk/eQTqK+2Nx2X3F23HalglJ8ow2lZ5G6thx0f2xnMUV6fmusYWCmzeBupev2vr/N3KAjC72WVSvt83sXjY6vxSKuqsTbJzRqZjBNGOlaToMCKcuwIKygNwhRcoNE1zq1cjEe8beynEpHZ+fdqNAT/XzF8lRyYzKGEQAOsL19PsT9sFRYQth7dwyaJLeHP7mxyqPkRxbTEf7v6Qyz+4nCV7ltgdnm+kDoXTr7WOq4vh86fsjQfa1+/GZUBytr3xSGDy423NWe51vDZva3YlvHERoYy2c+UxrrfVjbkr8X18E4uHfbTlUOtxsIwjcjEMo7VTc0DV8LpZYxjG3w3D+KFze/NFhmF0M9dA/E5kAix4C+KOfpMwrG6Op//IlrB6Clcdb2VjJTvKdtgcjYi4mKbJAyseoKrx2C6pzWYz931xHzWN/rUN0mvOuhMinJ01V/wRyvbaG8+R3VBxwDoeoPpdOUnpoyDFah7J9o+tEY1+wl86NRdV1rGzyHr+5OxkQkNsXACJSYFh3+78uiMUxv7Qd/F4iGmareOIEqPDmDQw2eaIPM9Vx1tQXodp2rtF393x/tccD9QAc4Hznb/O81ZQ4kV9xsFNG+D7L1uz+WbdDzeu75nz+XxsQvqE1mNtaxbxH9+UfsM3pd90er2ysZKle5f6MCIbxfSCs35pHTfXw9KH7I1H44jEE9y3NTfXw7Zumnj60KBUt4TXxhXelW7bmadk2zyOCODsezpf5T33cav3QIDZdKC8deVz1vB0ez9U8BJXHW9DUwul1Q02R9PmeP+kHcAtpmn+l2ma/wX8wosxibeFRsCYi2H2A3DmLyA5y+6IegTXCi8o4RXxJ4U1hR65J2hM+jEkDbSON/0f7F9jXyx73Op3B6h+V06B+7bmTW/ZF8dR+veKbl1vsHM00apdftKwymXL22Bao3uITLB2Jw4/D67+V8DuSHSt7kLwbWd2ce/U7E91vMeb8J5mmmaZ6wvTNI8A47u4X0SO0jumN31jrU8k1xau9autHiI9WZ/Y7mvBXP/v9gihETDHbWX3o7usWlo7uBpWxaRByhB7YpDgkDIYMsZax7s+tToB+4GI0BAyk6xVMTu3NLvqd5OiwxjeO862OABr5NDKP1nHEfHw83Vw61a49LWAblz3ca5VvxsZ5mD6kC566gSwdrN4AzDhdRiGkeT6wjCMZCC0q28wDCPSMIzVhmF8bRjGFsMwHnSezzIM40vnmKO/G4YR7jwf4fx6p/P6QLfXWug8v80wjHkn+g8p4i9cq7yldaXkV+TbHI2IAAxNGsppKad1ej3cEc6MzOXHy1oAACAASURBVBm+C8gfjPgu9J9qHe/7EnLf9X0MZXuh3FlDPGCaym7k1LlWeVuaYOv79sbiJtvZuGr/kVrqm3zf1PJAWS17Dlt9CqZk98LhsPn/tWWPgqtvwrdutmp6A1x+STXbC60PNM4ckkpUeIjNEXlHb7fRRAV+NJroeBPeJ4AVhmE8bBjGQ8AKrFFFXakHZpqmORYYB5xjGMYU4HHgKdM0hwBHAGdLSK4FjpimORh4ynkfhmGMBC4FRgHnAM8ahhGc/5VI0NM8XhH/9NAZD5Ec2XEDkYaWBv4n9398G5DdDAPm/art68X3Q6OPP63XOCLxtFHfazv2o27NrsZVpgl7D/u+QZ57/e40O8cRARR90zYHPK4PTP6ZvfF4yMfu3ZlHBud2ZqC1SzME4JZm0zT/AnwfKASKgYtM0+xyKr1pce3NCHP+MoGZgKt44s/Ahc7jC5xf47w+y7CGU10AvGGaZr1pmvnATqCbgbIi/kl1vCL+aVDiIP7v/P/j2tHXMiRpCFkJWZyVeRahDmsz07MbnuWfef+0OUof6zsRTvuBdVy2B1Y/79vn73FvWKWEVzwgsT/0m2wd7/4cKg91fb+PZLs1rsqzoXHViryS1mNb5+8CLHmgrXb37LsgPNrWcDzl41yrftdhwKwRPSPhDcQtzZimmWua5h9N0/yDaZq5x/M9hmGEGIaxASgCFgN5QJlpmk3OW/YDrsKovsA+57OagHKgl/v5Dr5HJKD0i+tHapRVt6GEV8S/pEWncfPEm3nnu+/w/oXv88dZf+SRMx5pvX7fivv46tBXNkZog1n3QajzB5jlv4Pqkq7v9yRXh+boXpA63HfPleDW2rzKhC02bNXvQLb7LF4fN64yTbN1hTc1LoJBqbHdfIcX7f4Ctv/bOk4dAeMusy8WDyqqrGPd3iMATMpKJjkm3OaIvCc5JpxwZ/fpgwG4pfmkmKbZbJrmOCATa1V2REe3OX/vqGDA7OJ8O4Zh/NgwjDWGYawpLi4+2ZBFvMowjNZV3kPVhzhYddDmiESkK9/J/g43jLsBgKaWJm769CZ2le2yOSofSsiEqdY/P/UVVm2dL5QfsGbwgup3xbNGXtg27sZPtjVnua3w5vu4cdWewzWtW0+nZvfCsOv/NdOExfe2fT3nIXAERwXj0q1FrX3/5o7sbW8wXmYYRmun5oBc4T0Vzg7Py4ApQKJhGK6GV5mA6yf+/UA/AOf1BKDU/XwH3+P+jBdM08wxTTMnNTU4O59JcNC2ZpHA8uPTfsyFg63qm8qGSq5beh0ltT5c6bTbt262uiQDrHnVqrHzNo0jEm+JS2/bIr9/NRzZY288QEZ8JJFh1o/kvl7hXeEv9bu578IB589EA8+EIXPsi8XD3Ot35wRx/a6LK+EtKK/zm4kkXkt4DcNINQwj0XkcBcwGtgKfAhc7b7sKeM95/L7za5zXPzGtP6X3gUudXZyzgCHAam/FLeJtSnhFAothGNw39T4mZ1i1fweqDnDjJzdS2+Q/27W8KiIOZt5jHZvN7VdhvGW3e/3uGd5/nvQs7jN5t/zDvjicHA6Dgb2sVd5dPq7hXekP83ebGmDJg21fz3kwaHZ1VNU38cVO6894ZEY8/ZKDoya5K67RRPVNLZTVNNocjcWbK7wZwKeGYWwEvgIWm6a5CLgD+IVhGDuxanRfdt7/MtDLef4XwJ0ApmluAd4EcoEPgetN0/R9z3YRDxmUOIiEiARACa9IoAhzhPHkjCcZnDgYgE0lm1j4n4U0t/SQv47GXw5po6zjHR9D3ifefZ5rhTcyse25Ip4y4rvgbEjH5re6vtdHXI2rDlc3UO6jJMGq37V2q/RNjKJfclQ33+Ela1+FI85RjaO/bzXMCxKfbSumodlqwjV3VPCv7kL70UT+UsfrtYTXNM2NpmmON03zNNM0R5um+ZDz/C7TNCeZpjnYNM35pmnWO8/XOb8e7Ly+y+21fmWa5iDTNIeZpvlvb8Us4gsOw8GEtAkA7K7Y3bO2RooEsPjweP4060+kRFmrIEv3LuWJtU/YHJWPOELajyn66B7wVrJfeQgO77SOB5wBDp9UX0lPEp0Mg2ZZx4c2QfF2e+OhbTQRQP5h36zy7iiqoqSqAbC6M9tSv1tXAZ89bh07wmCmD3aQ+NBH7cYRBXf9ros/dmrW3yIiNtC2ZpHA1Ce2D3+c9UeiQq1PsP+a+1de3/q6zVH5yKCzYcg867hoC6z/m3ee416/q+3M4i3ttjW/Y18cTu6dmncV+6Zxlfv83anZNtXvfvEM1DjjOP1HkJxlTxxe0NDUwqffFAGQmRTFiIw4myPyjd5+OItXCa+IDXLSc1qPlfCKBJZRvUbxm+m/weHs9Pr4V4+zbN8ye4PylbkPg+HsnPrJI1Bf6flnuNfvDlDCK14y7Ny2kVub3wabm+u079TsmxVe2+fvVhyElX+yjiPiYfovfR+DF63adZjKemsS67xRve3rgO1jfdy2NGuFV6QHG5Y8jOhQq3GBEl6RwDOj3wzuOP0OAFrMFm5ffjtbDm+xOSofSB0GOddYx9VF8PnTnn/GbucKb0QC9B7j+dcXAYiMhyFzreOS7VC42dZwst22NO/yQcLb0mKyalcpYG2n7pNoQ/3up78GV/O/b90CMTZ2ifaCj3PdtzP3jPpdaL/CG/Q1vCLSuVBHKOPSxgGw48gOyuvLbY5IRE7UZSMu4/IRlwNQ21TLDUtvoKCqwOaofGDGnVYyCrDyj1C2z3OvXVUMJdus4/5TgmYOp/gp923NNs/kTYwOJzkmHPBNp+bcggrKa63mWFPs2M5ctBU2vGYdx/eFKT/zfQxe1NJisji3EIDkmHAmDkiyOSLf6RUTTliItZqtFV6RHs5Vx2tisr5ovc3RiMjJuC3nNmb2mwlASW0J1y29jsoGL2zz9ScxKTD9Nuu4qQ6WPuS511b9rvjSkLkQ7qyd9Ydtzc5V3t0l1bS0eDeWlXbP313yAJhW92LOvgvCbOoQ7SUbD5RTWFEPwKzhaYSG9JyUy+EwSI+3VnmV8Ir0cGpcJRL4QhwhPDb9MUb3Gg3AzrKd/GLZL2hs8Y/Zg14z+SeQOMA63vQm7PfQe5h7wjvgW555TZHOhEfDsG9bx2V74YC9fxe7Et7axmYKK72bKLjP3/X5Cm/+f2D7h9Zx2kgY+0PfPt8HPnbvzjyqZ3Rndueq4z1YXotp8wdJoIRXxDajU0YT7rC2LynhFQlcUaFR/GHWH+gb2xeAVQWreHjlw37xl7zXhEbAnAfbvv7oLs+sjrnqd8NjIWPsqb+eSHf8aFtztlvjKm9ua25qbmF1vlW/OzQ9ltS4CK896ximCYvva/t6zkNBWbrgGkcUFRbCmUNSbI7G91x1vHWNLa1b5+2khFfEJhEhEYxJtRqy5B7OpaaxxuaIRORkpUSl8OysZ4kLt8ZO/GPnP3hx04s2R+VlIy+EfpOt432rIPe9U3u96sPWuCOw6ndDQk/t9USOx6CZEOmsSd/8jvfmSx8HXzWu2nSgnCpn9+Bpg3ycjG35BxxcZx1nTYfBs337fB/YWVRFnvMDi+lDU4gMC76EvjsZfjaaSAmviI1c25qbzWY2FG+wORoRORXZidk8PeNpQh1WovaH9X/gX7v+ZXNUXmQYMO/XbV8vvg+a6k/+9fauaDvWOCLxldBwGPFd67jqEOxZ0fX9XpTlNos334srvCvybNrO3NQAS912hsx5yHofCTKuZlVgjSPqidwTXn+o41XCK2Ij9zredYXrbIxERDxhUsYkHpzW9gPdvV/cy5pDa2yMyMsyc2DMfOu4bA98+fzJv9Zu94ZVqt8VHxpzcduxjduaB/SKbs3/dpVUee05roZVhgFTspO99pxjrHkFjuy2jkdfDH3G++7ZPuQaRxTiMJg5PM3maOzR220Wrz+MJlLCK2KjcanjCDGsrS6q4xUJDt8d9F2uG3sdAI0tjdz06U3kl+fbHJUXzbofQp2f5i//LVSXnNzr7Pnc+j0sOmh/EBY/NfBMiHEmJrnvQbM9NYeRYSH0dc7DzffSlub6pmbW7LHqd0dmxJMYHe6V5xyjrhw+e9w6doTBrHt981wfK6qoY/3eMgAmZyX77s/Xz2iFV0RaRYdFM7LXSAA2Fm+kobnB5ohExBN+OvanfHeQtU2yoqGC65ZcR2ldqc1ReUliP5h6vXVcXwHLHjvx16g9Aoc2W8f9JkFImOfiE+mOIwRGXWgd15bCrs9sC8XVqXlfaQ0NTS0ef/0Ne8uoa7Re16fjiD5/2vqzBZj0Y0ga6Ltn+9DirW3bmeeOTLcxEnuphldE2nFta25oaWBzyWaboxERTzAMgwemPsCk3pMA2F+1n59/8nPqmuz/i98rvnULxKRax2tegeJtJ/b9e1cBzi7P2s4sdvCTbs2DUq063hYT9pZ6fpV3Rbv5uz5qWFV+AFY9ax1HJLTN8Q5CH21pS3jn9ND6XYCU2AhCHdb+fK3wiojm8YoEqbCQMJ6c8SRZCVmAtYvjrs/vosX0/KqN7SLiYOY91rHZDB+f4HbF3Z+3HWv+rtghcxLEZ1rH3yyCRnt+SM9K8e5oItf83RCHwelZPqrfXfZrcH3Yd+YtEO3DumEfqqhrZGWeVdIxum986/b0nsjhMEiPt1Z5VcMrIoxPG4+B9SmYEl6R4JIQkcCzs54lOdL6AW/xnsU8vfZpm6PykvFXQNoo63jHR5D36fF/ryvhDY2EvhM8H5tIdxwOGP0967i+AnYusSUM94TX03W8tQ3NrN97BIDTMhOIjfDB6K/CLbDhdes4vi9M/qn3n2mTZduKaWy2dqrMHdlzV3ddXNuaD5XX2T6XXgmviM0SIhIYkjQEgPVF62lqabI5IhHxpMy4TP44849Ehlh/+b+65VXe3PamzVF5gSME5j3S9vXH9xzfTNO6cji00TrOPB1CI7wTn0h3/GBbc3aq91Z41+450pqQTfXVOKIlD4BrV8vMeyAseFc9P95yqPW4p44jctfbmfDWNDRTUWfvz7ZKeEX8gGtbc01TDdtKT7D2TUT83pjUMTw2/bHW3Ry/+vJXLN+/3OaovGDQTBgy1zou3AwbXuv+e/Z+2fYDsep3xU4Z4yA52zre/iE0eG8Wbmf6JEQRHmr9eO7pFd4VeW0d1H1Sv5u/HHZ8bB2njYLTfuD9Z9qkvqmZZduKAWu81ND02G6+I/j1cdvSbXcdrxJeET/gXse7pjCIZ3aK9GCz+s/il6f/EoAWs4XbPruNrYe32hyVF8x5GJzj1vjkEaiv7Pr+Pe71u2d4Ly6R7hhG2ypvYw1s+7fPQ3A4DLJ6Wau8uzye8Fr1u+EhDiYOSPLoax+jpQUW39f29ZyHrF0gQWpl3mGq6q1VzLkj0zFcA5V7sN7xbZ2a7a7jVcIr4gfUuEqkZ7h8xOVcNvwyAGqbarlh6Q0cqj7UzXcFmLThMPFq67iqEL54puv7d39h/R4SDpk5Xg1NpFt+tK25pKqeijrPzASurGtk04FyAMb1TyQq3MvJ55Z34OB66zjrLBg8y7vPs9nHuW7jiLSdGfCvWbxKeEX8QEpUCgPiBwCwrmhdcHZxFREMw+D2029nRuYMAIpqi7hu6XV8sOsDnlr7FM9teI5vSr+xN0hPmLEQIuKt4xV/gPL9Hd9XX9X2Q3Hm6UFd3ycBIm2EW/O1xdaMaB9r17jKQ3W8X+0upbnFqt/1+vzdpnpY+lDb13MeslbPg1RLi8liZ8LbKyacCf29vHoeIDLctjTbPYtXCa+In3Ct8pbXl5NXlmdzNCLiLSGOEB6f/jgje40EYMeRHdzxnzt4ZfMrPPv1s8z/53zuWH4Hjc2eWdmxRWwqnHmrddxU1/6HX3f7VlljjEDbmcV/jL7I+r2lEb75l88f741OzSvd5u96vWHVmlegbI91PGY+9Bnn3efZbP2+Moor6wGYPSKdEEfwJvcnwn2Ft6BMW5pFBG1rFulJosOieXrG04QYHW8r/CD/A36//vc+jsrDJv8UEvtbxxv/Dgc6eF9zbWcGGKiEV/yEK+EFW7Y1Z6e2NTzaVVzlkdd01e9GhjkY1z/RI6/Zodoy+Ow31nFIeNt87iD2cW5bWcrcUek2RuJfUmIjWpP/QxVa4RURlPCK9DRbS7fSbHY+tufNbW9S3ej7LrEeExYJsx9s+/qju+HoWYx7nAmvIwwyJ/kuNpGuJGdDH+c86F2fQVWxTx+f7bbC64nGVWU1DeQWVABw+sBkIkK9WL/7xdNQW2odT/oxJA303rP8gGmafLzF2s4cHR7CGYN90P06QIQ4DNLjrDFz2tIsIgD0ielD7xir0cHawrW2D+kWEe/6uvjrLq/XNNWws2ynj6LxklHfa0tk966Ere+3XWuogQPrrOO+EyA82vfxiXTG1bzKbIat7/n00Ukx4SRGhwGe2dK8aldp62dNU7y5nbl8P6x6zjqOTGgrawhiecVVrf+OZgxLJTIseDtRnwxXHa+aVokIYDWzca3yFtcWs7+ykyYvIhIUIkMiu73nT+v/xJpDawL3AzDDgHm/bvt68X1WQxuA/autGklQ/a74n1Hfazve/I7PH+9a5c0vqT7l//9Xtpu/68WE99NfWzX7AN/6BUQne+9ZfuKjLW7dmUeqO/PRejvreKvqmzzWcfxkKOEV8SOaxyvSc5zd/+xu71lZsJL/+ui/uOj9i3hz25vUNNb4IDIP63c6jL7YOj6yG1a/YB23q9/9ls/DEulSQl/oP8063rMCyg/49PFZKVYdb01DM4UV9af0Wit3WfW7sRGhjOmbcMqxdahwC2x43TqOz4TJP/HOc/yMaxxRqMPg7GFpNkfjfzLi/WM0kRJeET+iOl6RnmN48nC+nfXtTq+nRqW2Hu8s28nDqx5m1v/N4vHVj7O7fLcPIvSg2fdDiFXLxWe/herDbfW7Rgj0m2xfbCKdaW1eZcKWf/j00a5ZvAC7Sk6+cVVxZT3bC63vn5SVTGiIl370X3w/4FyJnnlPjxgxdqi8jq/3lQHWVvEE5zZ0adPbvVOzEl4RAciKzyI50toCpIRXJPg9csYjXD3qaqJD2+pXM2Mz+e1Zv2XJ/CU8P+d5zu53Ng7D+uu6qrGKv239G+e/ez4/WfwTlu1bRnNL542v/EZif5h6vXVcXw4vzbJWzQDShkNEbOffK2KXkReC8/89X3drbte46hRm8bpWd8GL25l3LYOdi63j9DFw2iXeeY6fWazuzN3q4zaL91C5faOJQm17sogcw1XHu3jPYvZX7edQ9aHWRlYiEnzCQsK4NedWfjr2p+ws20lESARDk4a2JrjT+kxjWp9pHKw6yJvb3uTtHW9TVm+tKKw4uIIVB1fQN7Yvlwy7hIsGX0RipBfHjZyqM26ElX+C5no4kt92vnCLNbcz5xr7YhPpSGwqZJ0Fuz6Fg+ugdJfVwdkHslI9M4vXff6uVxpWtbRYtfkucx4AR89o3OTazgwwZ6QS3o64r/AeLNMKr4g4uW9rXle4zsZIRMRXYsJiGJs6luHJw1uTXXd9Yvtw88SbWTJ/CY+c8Qijeo1qvXag6gBPrX2K2W/N5t4v7mXL4S2+DP34bXjdSnY7sugXVuIr4m9c3ZrBp82rBvaKwbBGmJ5iwms1rEqICmNkRrwnQmtvyztQ4Ow4nz0DBs3y/DP8UHltY+uHCWMzE8hICP4t3CcjI0E1vCLSAdXxikhnIkIiuGDwBbxx3hu8/u3XOT/7fMIcVt1YfXM97+58l0sXXcqCDxawaNciGpobbI7YzVcvdXHRtFZ5RfzNiPOtOdHg04Q3MiyEPs4kalfxydXwHiyrZfdhq9HdlOxkHA7DY/EBVsf1pW6ztuc8RGuWHuSWbSuiqcWqWZ47SjvxOpMWF0mI87+7ggolvCLiNCRxCHFhcYASXhHp3JjUMfz6zF+zZP4SbppwU7vyh43FG1n4n4XMeWsOv1/3ew5VH+rwNUzTpKG5wftjj5qbrO2gXSne5t0YRE5GVCIMmWMdF22Boq0+e7SrcdW+I7U0NLWc8Pe7b2eeNijFY3G1+uolKNtrHZ/2A8gY6/ln+KmP240j0nbmzoQ4DNLirIaFBWX21fAq4RXxMyGOEManjwcgrzyP0rpSmyMSEX+WHJnMj8b8iH9f9G+ePvtpJme0dTwurSvlxU0vcs7b53DLp7ewumA1pmnS2NzIS5teYt7b85j4t4mc8cYZPPrlo957v3GEQEQ32ymjkrzzbJFTZdO2ZlfjquYWk31HTnwk2Yo8Lzasqi2D5b+1jkPC4ey7Pfv6fqyusZll24oAyEqJYXCamu51xVXHqy3NItLOhLQJrcfrC9fbGImIBIpQRyiz+s/ipbkv8d4F7/HD4T9s7f7cbDazZO8Srv34Wi5870IuWXQJz6x7hoLqAgAqGyp5/ZvXuerfV1FWV+b54AwDxlzc9T09pLOrBKCh50Cos0Zz89vg7R0RTlmn0KnZNE1WOTs0p8RGeD4p+/wpqD1iHU/6MSQN8Ozr+7EVeSVUN1jd8eeOTMfoIdu4T5arjreyvonKukZbYlDCK+KH3Ot41xSusTESEQlE2YnZ3DX5Lj655BPunnw32QltnWV3le9iZ9nODr9vd8VuXtrUVa3tKTjrDkjo3/G1oefCsO9457kipyoiFoadYx2X5rU1afKyrNS2JDX/BGfx7i2t4YBzC+nUQb08m5SV7YNVz1nHkQlw5q2ee+0A0G47s8YRdcu9oVehTXW8SnhF/NCoXqOIDLE+EVMdr4icrJiwGC4dfinvXvAuL819idn9Z3f7PYt2LfJOMHG94dqPYcJVEOZcuYrPhJn3wiV/AYd+JBE/1m5bs29m8rrP4j3RTs3u25mnemIcUUsz7PoMNr4Ji25p67h+5m0QnXzqrx8gmltMlmy1Et6U2AjG91MpRncy/GA0kebwivihsJAwxqaO5ctDX7LtyDYqGyqJC4+zOywRCVCGYTA5YzKTMyYz/5/z+ab0m07vdc359Yr4DPju7+G8p6GpDsKiekxXVwlwg+dAeBw0VFp1vLMf9PqHNH0SowgPddDQ1ELeCW5pXunJ+t385fDe9W0Nqlxi063tzD3I+r1HKKmyut/PGZnu+c7XQai3H4wm0sepIn7Kta25xWxhQ9EGm6MRkWAxLGlYl9ezErK8H4TDAeHRSnYlcIRFwojzrOOK/bB/tdcfGeIwGNjLqsM/kRVe0zRbV3j7JEQywPkaJ6VwC7w2/9hkF6C+Cmp7VmPNj3O1nflEua/wFijhFRF3mscrIt7wg2E/OKXrIj2WLduarTre4sr64274k1dcRUmVteV4yqnW737xjLUboyON1bD6hZN/7QBjmiYfbbFGvMWEh3i+83WQcq/hPVRhz2giJbwifmpM6hhCHVbVwbqidTZHIyLBYkzqGG7Lua3Da9/J/g7zh873cUQiASJ7BkQ561W3/MOaL+1lWaknXse7wpPzd3cu7fp63ien9voBZHthFXsOW+OhZgxPIyI0xOaIAkNqXASund921fAq4RXxU1GhUYzuNRqATSWbqOvsE1YRkRN01air+Pt5f2f+0PnEOBtIhTpCeXDqg4Q49EOcSIdCwmDkBdZxdTHs+dzrj8w6icZVK3a6Naw61VVIs+XUrgeRj52ru2CNI5LjExbiIDUuAlANr4h0wLWtuamliU0lm2yOxr80tTTxYf6H3PTJTVzz0TU8tvoxdpXvsjsskYAxstdI7pt6HxcPsebjNrU0seXwFpujEvFzPt7WPCj1xGbxtrSYrMq3Et4BvaLpmxjVzXd0I3tG19ezzjq11w8grvrdsBCDs4en2RxNYHFtay4o15ZmETmK5vF2rK6pjp8u+Sm/XP5LPtn3CV8d+orXtr7GRe9dxD/z/ml3eCIBxf19RuUTIt0YMA1ie1vHue9DU4NXH5eV0jaLd9dxrPBuPVRBWY1V6+uRGtMzbgRHWMfXIuJg8k9O/RkB4GBZLZsOlAMwdVAK8ZGd/JlIh1yNqyrqmqiu934pwNGU8Ir4sXFp43AY1v+malzV5rmvn+PLgi+POd9sNnPvF/dyoOqADVGJBKYJ6RNaj/XBmkg3HCEw6nvWcV0Z7PrUq49Lig4jIcpKrvJLqrq9330c0RRPzN/tMx4ufQ1iUtufT+wPl//D+r0HWOzenVnbmU9Yb5s7NSvhFfFjceFxrSNEvi76msbm4+vQGMwaWxp5e3vn28iazWbe2fGODyMSCWwJEQkMSRoCwIaiDTS1+P7Td5GA4sNtzYZhkO3c1pxfXI1pml3e757wnnL9rsvQeXBLLlz6OnznCbj8bbhxA/Q73TOvHwA+zm2r352jhPeEZdg8i1cJr4ifc203rGuuI7c01+Zo7FdWV0Z5Q3mX9+wu3+2bYESCxIQ0a5W3urGabUe22RyNiJ/LzGnb1rzxTXhyJCz6BZR6p4+Eq3FVdUMzRZX1nd7X1NzCl/nWXNzBabGkxUV2eu8JCw2H4d+B038Eg2dbK909RHlNI6t2WX+u4/olkh7vwT/XHsJ9NJEddbxKeEX8XE56TuuxtjVDbHgsoUZol/ckRSb5KBqR4NDufeaQ3mdEurTtA6hybXE1oeIArHkZnj8LDq73+OOyU46vcdXmgxVUOesjNSPWc5Z+U0hzi7WyPneUVndPRoa2NItIV8anj289VsJrjWuaPWB2l/ecl32ej6IRCQ7udbxqXCXShYYaePc6oIOtxfUV8N4N0M224xOVndrWuKqr0UQr8kpaj5Xwes7HW9zrd3vbGEngUg2viHQpOTKZQQmDAFhfuJ7mlmabI7LfTRNuIiUqpcNrFw+9mHFp43wckUhgS4tOo3+c1XxmbeHabusERXqsb/5lNavqTOFmKNjg0UdmtVvh7bxxlat+1zBgcpYSXk+oa2zms+3FAGSnxjA4Lbab75COpMdHYhjW8SFtaRaRjrhWXyobK9lRtsPmaOyXGZfJFzK25gAAIABJREFU699+nYuGXERUqFUXkp2QzT2T7+HeKffaHJ1IYHL1CyirL9NMa5HOVBzHFICKgx595MBebQlvZyu8DU0tfLXbqjMd0TuepJhwj8bQU32+o4TaRmuhYd4ore6erLAQB6mxEYBWeEWkE+5zMrWt2ZIRm8GD0x7ky8u+ZN0V63jvwvf4wfAftI5xEpET476tWe8zIp04njE8Hh7VExUeQt9E68PdzhLeDfvKqGtsAbSd2ZPcuzNrHNGpcdXxKuEVkQ4p4e2cYRiEOTQAXuRU6X1G5DgM+zZEd1xSA1hza9NHe/yxrm3Ne0traGxuOea6V8YR9XANTS0syS0CIC0ugrGZiTZHFNhcdbzltY3UNPh2/J0SXpEA0DumN31j+wKqrxMR78iMzSQtOg2ANYVr9D4j0pGwSLjoBQjtYDRNdC+44FlaixU9yJXwNrWY7CutOea6q2FViMNgUlayx5/fk3y+o4TLXlzFsHv+TWlNA2CNI3I4PP/vtSdxH03k61m8SnhFAoRr9aW0rpT8inyboxGRYGMYRuv7TFFNEQeqjqNWUaQnGjwLfrIcJl4NvYZA6gg44yb46eeQPtIrj8xO7byOt66xmfV7rUZao/smEBepXU8n6931B7ji5S9ZkXe4XR/uJVsLWbq1sNPvk+7ZOZpICa9IgHCfk7muUGNDRMTzJqZpW7PIcUkdBuc/Az9fA9evgjkPQXwfrz0uq4tZvGv3HKGhWfW7p6qmoYn73tvc0cApWky4593NNHWwnVyOj52jiZTwigQI1deJiLe5v89oHq+I/8hOaRuHs+uoFV7N3/WMT74poqKu89rSgvI6Vu0q9WFEwaX9lmbfjiZSwisSIPrF9SM1KhVQwisi3pGdmE1ihNWYRe8zIv6jb1IU4SHWj+35Je1n8boaVoWFGOQMUP3uySqtbuj2nsPV9T6IJDhpS7OIdMu9vq6guoCDVZ6d8yci4jAcTEizxhPtqdhDcU2xzRGJCFjNqAb0igbab2muqm/i6/3lAIzvl0RUeIgt8QWDQamxHrlHOpYer4RXRI6DtjWLiLe1e58p0vuMiL9w1fEWVdZTVW9tvf0qv5TmFqvqdIq2M5+Sqdm9yHarlT7auH6JjO6b4MOIgkt4qIOU2AhACa+IdEEJr4h4W7v3mUN6nxHxF9luq4u7nXW8K3e1zd9V/e6pcTgM/njZBHrFhB9zrU9CJE//YJwNUQUX17ZmX9fwhvr0aSJySgYlDiIhIoHy+nIlvCLiFcOShxEdGk1NU40aV4n4EffVx10l1Yzum9DasCoi1MH4/ol2hRY0RvaJZ/EvzuJ/V+9lRV4JDsPgrKGpzM/pR0KUxj2dqoyESDYdKOdITSN1jc1EhvlmC74SXpEA4qqv+3Tfp+yu2E1JbQkpUSl2hyUiQSTUEcr4tPF8cfALdhzZQXl9OQkR2sYnYresVPfRRFWU1zSy5WAFADkDk4gIVf2uJyTHhHP92YO5/uzBdocSdI5uXJXVxRZyT9KWZpEAo23NIuJtrvcZE5P1RettjkZEoP0Kb35JNavyD2M6h8ZOG6QPv8X/9XYbTVTgw23NXkt4DcPoZxjGp4ZhbDUMY4thGDc5zycbhrHYMIwdzt+TnOcNwzB+bxjGTsMwNhqGMcHtta5y3r/DMIyrvBWzSCDISc9pPVbCKyLeMCG99a9gvc+I+InkmHDiI63Nmfkl1a3jiACmZKt+V/xfn8S2Fd5DPmxc5c0V3ibgVtM0RwBTgOsNwxgJ3AksNU1zCLDU+TXAucAQ568fA8+BlSAD9wOTgUnA/a4kWaQnctXXgX4QFRHvGJ0ymnCH1bhlXaHqeEX8gWEYZDkbV+0qrm6t340JD+G0TJUdiP/rbdNoIq8lvKZpFpimuc55XAlsBfoCFwB/dt72Z+BC5/EFwF9Myyog0TCMDGAesNg0zVLTNI8Ai4FzvBW3iL8LdYQyLs3qFOiqrxMR8aSIkAjGpI4BIPdwLjWNNTZHJCIAg5zbmqvqm9heWAXApKxkwkJUpSj+LyPYtjS7MwxjIDAe+BJIN02zAKykGEhz3tYX2Of2bfud5zo7L9Jjqb5ORLzN9T7TZDbxdfHXNkcjIkCHTX6mahyRBIj0hIjW42DZ0gyAYRixwNvAzaZpVnR1awfnzC7OH/2cHxuGscYwjDXFxcUnF6xIgFDjKhHxNr3PiPifzOSoY86pYZUEiojQEFJirXKZoNjSDGAYRhhWsvuaaZrvOE8XOrcq4/y9yHl+P9DP7dszgYNdnG/HNM0XTNPMMU0zJzU11bP/ICJ+xr2+Tj+Iiog3jEsdR4hhjTnRPF4R+23YV8ZD/8w95vzi3EJM85i1IBG/1Ns5migoEl7DMAzgZWCraZpPul16H3B1Wr4KeM/t/JXObs1TgHLnluePgLmGYSQ5m1XNdZ4T6bHc6+u2Ht6q+joR8bjosGhGJI8AYGPxRhqaG2yOSKTnKq1u4OpXVnOkpvGYa88s3cE76w7YEJXIiesdb+1SKK1uoK6x2SfP9OYK7xnAFcBMwzA2OH99G3gMmGMYxg5gjvNrgA+AXcBO4EXgOgDTNEuBh4GvnL8ecp4T6dFUXyci3uZ6n6lvrmfL4S02RyPSc725Zh9ltccmuy7PL8/TKq8EhIyEtk7NhRW+WeUN9dYLm6b5OR3X3wLM6uB+E7i+k9d6BXjFc9GJBL6j6+um9plqYzQiEowmpk/kz7nWYIW1hWsZnzbe5ohEeqa1e450eX17YRWV9U3ER4b5KCKRk5OR2H400YBexzZi8zT1MBcJUO71darjFRFvcE9w9T4jYp/w0O5/ZA/XaCIJAO4rvL4aTaT/M0QCVHRYNCN7jQRUXyfe09DcwOI9i3l186v8M++fqhfvYRIjExmcOBiA9UXraW7xTb2ViLQ3d2R6l9enD00lMizER9GInDxXDS/4rnGV17Y0i4j3TUyfyKaSTTS0NLC5ZDMT0ifYHZIEka8OfcXty2+npLak9VxsWCz3T72fc7LOsTEy8aWJ6RPZWbaT6sZqth3Z1vpBm4j4zrmjM3ipbz6bDpQfcy0sxODm2UNsiErkxPVx29Lsq1m8WuEVCWCakynesq9yH9cvvb5dsgtQ1VjFnf+5k/VF622KTHwtJz2n9VjvMyL2CA918NdrJ3HeaRmEONpa5AxNj+XP10xiQv8kG6MTOX7p8W0J78EyrfCKSDfGp43HwMDEZG3hWv6b/7Y7JAkSr299ndqmjmtrms1mXt38KuNnqoFRT+C+c2Rt4VquGHmFjdGI9FyJ0eH88bIJFFXWsau4msToMIalx2FNAhUJDJFhISTHhFNa3cChCtXwikg3EiISGJJkbWNaX7SeppYmmyOSYNHdSt6awjU+ikTslhadRr+4fgCsK1yn0SciNkuLi2RKdi+G945XsisBqbdzlVdbmkXkuLi2Ndc01bCtdJvN0UiwcHUA70yooQ1CPYnrfeZI/RHyy/NtjkZERAKZq463pKqB+ibvN0NUwisS4Ny3G2rVTTxleub0Lq+fmXmmjyIRf+DeL0DvMyIicip6u40mKiyv9/rzlPCKBLiJaWpcJZ53ybBLSI1K7fBaVGgU146+1scRiZ3UIE9ERDwlI8F9NJH363iV8IoEuNToVAbEDwBgXdE6WswWmyOSYNArqhcvz3uZsalj250flDCIF+a8QHZitk2RiR0yYzNJi0oDrIRXdbwiInKyert1aj5U4f06XhVhiQSBiekT2VOxh/L6cvLK8lobWYmciqyELP727b+x/ch29lfuJy06jVG9RqlJSg9kGAYT0yfy793/prCmkIPVB+kb29fusEREJABluM3iLfBB4yqt8IoEAW03FG8amjSUmf1nMjpltJLdHkzvMyIi4gnttjSXaUuziBwH9x9E1xWuszESEQlWSnhFRMQT3Lc0a4VXRI5Ln5g+9I7pDai+TkS8Izsxm8SIREAfrImIyMmLCg8hKToM8E0NrxJekSDgqq8DKKotYn/lfpsjEpFg4zAcjE8bD8Duit2U1JbYHJGIiASq3s5tzVrhFZHjpjmZIuJt2tYsIiKekOGcxVtSVU9Dk3cnjCjhFQkS+kFURLwtJz2n9VjvMyIicrIiQq001DTh1S/yqW1o9tqzlPCKBIms+CySI5MB/SAqIt4xLHkY0aHRgN5nRETkxDW3mNz59kb+vflQ67lH//0N03/7KRv3l3nlmUp4RYKEYRiMSxsHwP6q/Ty++nG2H9luc1QiEkxCHaGt7zM7juygvL7c5ohERCSQ/L/P8njjq33HnC+urOe/Xv2KyrpGjz9TCa9IkPim9BtWF6xu/fpvW//G99//Pg+ufJDmFu9tExGRnsVVPmFisqFog83RiIhIoGhsbuHVL3Z3ev1wdQPvbjjo8ecq4RUJAjWNNfxsyc+oaqw65tpb29/i1S2v2hCViAQj9QsQEZGTUVBWR0lVfZf3fL3P89ualfCKBIF/5f+ryxEhf8v9G40tnt8iIiI9z+iU0YQ7wgElvCIicvwiw7tPPaPDQzz+XCW8IkFgU/GmLq8frjtMQVWBj6IRkWAWERLBmNQxAOQezqWmscbmiEREJBCkxUUycUBSl/ecM6q3x5+rhFckCESGRnrkHhGR4zEhbQIATWYTG0s22hyNiIgEitvnDSPUYXR4bebwNKYO6uXxZyrhFQkCs/rP6vL6aSmnkRad5qNoRCTYaR6viIicjMnZvfjLtZMY1Se+9VxMeAj/dcZAnl0wAcPoOBk+FaEef0UR8blJvScxPXM6y/cvP+ZaiBHCjRNutCEqEQlWY9PGEmKE0Gw2K+EVEZETMm1QCot+/i32ltZQWddEVkoMMRHeS0u1wisSBAzD4ImznuCy4ZcRGdK2dXlI0hCenf0skzMm2xidiASbmLAYRiSPAGBj8UYam9UUT0REjp9hGAzoFcPovgleTXZBK7wiQSMyNJKFkxfy8/E/Z0/FHqLDohkYP9ArW0NERCakT2Dz4c3UN9ez5fAWxqWNszskERGRY2iFVyTIxIbHMiplFFkJWUp2RcRr3OfxrilcY2MkIiIinVPCKyIiIifM1akZ1LhKRET8lxJeEREROWGJkYkMThwMwIaiDTS3NNsckYiIyLGU8IqIiMhJcW1rrmqsYvuR7TZHIyIiciwlvCIiInJS3Ot4ta1ZRET8kRJeEREROSmq4xUREX/XI8cSVVRUUFRURGOj5gYGo7CwMNLS0oiPj7c7FBGRoJYek06/uH7sq9zHuqJ1mKap7vAiIuJXelzCW1FRQWFhIX379iUqKkp/MQcZ0zSpra3lwIEDAEp6RUS8bGL6RPZV7qO0rpT8inyyE7LtDklERKRVj9vSXFRURN++fYmOjlayG4QMwyA6Opq+fftSVFRkdzgiIkFP25pFRMSf9biEt7GxkaioKLvDEC+LiorSlnURER/ISc9pPVbCe6zG5kZ2HtnJnoo9mKZpdzgiIj1Oj9vSDGhltwfQv2MREd/IjMskLSqNotoiJbxuWswWXtn8Cn/N/SuldaUAZCVkceP4G5k9YLbN0YmI9Bw9boVXREREPMcwjNbxRIeqD3Gw6qDNEfmH3371W55Z90xrsguQX57PLctu4cP8D22MTESkZ1HCKyIiIqdkQrrqeN3tq9zHa1tf6/T6E2ufoLml2YcRiYj0XEp4g4RhGLz11lt2hyEiIj2Qa4UXlPACfLL3E0w6r9c9VH2IzYc3+zAiEZGeSwmviIiInJJBiYNIiEgAlPAC1DTVdHtPbVOtDyIRERElvHLcGhoa7A5BRET8kMNwtI4n2l2xm5LaEpsjsteoXqO6vB7qCGVo0lAfRSMi0rMp4Q0gpmnyxBNPMGTIECIiIsjMzGThwoUd3nvgwAEuvfRSkpKSSEpK4jvf+Q47duxovZ6Xl8cFF1xA7969iYmJYcKECSxatKjdawwcOJAHHniAa665hsTERBYsWODVfz4REQlc7tua1xWuszES+53R5wyyE7I7vX5+9vkkRyb7MCIRkZ6rR44lOtoVL3/J/iO+31qUmRTFX6+dfNz333XXXTz33HM8+eSTTJ8+neLiYtavX3/MfTU1NZx99tlMmzaNzz77jPDwcH73u98xe/Zstm7dSnR0NFVVVZx77rk88sgjREVF8fe//52LLrqIjRs3Mnz48NbXevLJJ7nnnntYs2aN5geKiEinjq7jnTtwro3R2CvEEcIfZv6Bny35GXsr97a7Nq3PNO6cdKdNkYmI9DxKeIH9R2rJL6m2O4wuVVVV8dRTT/H0009zzTXXADB48GCmTp16zL1vvPEGpmny6quvts6jff7550lLS2PRokVccskljB07lrFjx7Z+z913380///lP3nrrLe65557W82eddRa33367l//pREQk0A1PHk5UaBS1TbWq4wX6x/fn3QveZcneJawrXEdYSBhn9zubnPQczYoXEfEhJbxYK63+/tzc3Fzq6+uZNWtWt/euXbuW/Px84uLi2p2vqakhLy8PgOrqah588EEWLVpEQUEBjY2N1NXVcdppp7X7npycnOOOUUREeq5QRyjj08az4uAKth/ZTkVDBfHh8XaHZauwkDDOzTqXc7POtTsUEZEeSwkvnNC2YrucyHbilpYWxo0bxxtvvHHMteRkq2botttu48MPP+R3v/sdQ4YMITo6miuvvPKYxlQxMTGnFriIiPQYE9MnsuLgCkxMNhRtYHrmdLtDEhGRHk4Jb4AYOXIkERERLF26lCFDhnR574QJE/jf//1fUlJSSExM7PCezz//nCuvvJLvf//7ANTV1ZGXl8fQoeoaKSIiJ8fVqRlgTeEaJbwiImI7dWkOEHFxcdx0000sXLiQV199lby8PFavXs1zzz13zL0LFiwgPT2dCy64gM8++4z8/HyWL1/Orbfe2tqpeejQofzjH/9g3bp1bNq0icsvv5y6ujpf/2OJiEgQGZM6hjBHGKB5vCIi4h+U8AaQRx99lDvuuIOHH36YESNG8P3vf5/9+/cfc190dDTLly8nOzub+fPnM3z4cK666iqOHDlCUlISYHVfTktL48wzz+Tcc89lypQpnHnmmb7+RxIRkSASERLBmJQxAOSW5FLTWGNzRCIi0tMZwThqJicnx1yzZk2H17Zu3cqIESN8HJHYQf+uRUR87/frfs+Lm14E4KW5LzE5w//7ZIiISOAxDGOtaZrddtjVCq+IiIh4TE56288e2tYsIiJ2U8IrIiIiHjM2bSwOw/rxQgmviIjYTV2aRURExGNiwmIYkTyCLYe38HXx1zQ2NxIWEmZ3WCIelV+ez2tbX2PNoTWEOEKYnjmdy4ZfRmp0qt2hichRlPCKiIiIR01Mn8iWw1uob65ny+EtjEsbZ3dIIh6z4uAKbvzkRuqb61vPbT+ynXd2vMMr815hUOIgG6MTkaNpS7OIiIh41MT0ia3H2tYswaS+uZ6F/1nYLtl1Ka0r5Z7P77EhKhHpihJeERER8agJaRNaj5XwSjBZtm8ZpXWlnV7ffHgz20q3+TAiEemOEl4RERHxqMTIRAYnDgZgfdF6mluabY5IxDMOVB3wyD0i4jtKeEVERMTjXNuaqxqr2H5ku83RiHhGfHh8t/ekR6f7IBIROV5KeEVERMTj3Ot41xWtszESEc/YXLKZlze93OU9Q5KGMLLXSB9FJCLHQwlvkDAMg7feesvrz7nhhhuYMWOG158jIiKBTXW8EixazBb+Z/P/cMUHV7C/an+n98WGxfLQtIcwDMOH0YlId7yW8BqG8YphGEWGYWx2O5dsGMZiwzB2OH9Pcp43DMP4vWEYOw3D2GgYxgS377nKef8OwzCu8la8IiIi4jnpMelkxmYCVsJrmqbNEYmcuJLaEq5bch1PrH2CJrMJgLMyz+L5Oc8zb+A8ekX2Ii06jYuHXswb573B6JTRNkcsIkfz5hze/wH+CPzF7dydwFLTNB8zDONO59d3AOcCQ5y/JgPPAZMNw0gG7gdyABNYaxjG+6ZpHvFi3CIiIuIBE9Mnsr9qP6V1peRX5JOdkG13SCLHbcWBFSz8fGFrV+YwRxi35tzKZcMvwzAMpvWZZnOEInI8vLbCa5rmcuDovu0XAH92Hv8ZuNDt/F9Myyog0TCMDGAesNg0zVJnkrsYOMdbMfs70zR54oknGDJkCBEREWRmZrJw4cIO7920aROzZ88mKiqK5ORkrr76asrLy1uvX3311Zx33nntvueBBx5g9Oi2Tyabm5u57bbbSEpKIikpiZtvvpnm5vadNpcvX86UKVOIjY0lISGByZMns3nzZkRERNrV8RaqjlcCQ2NzI0+ueZKfLPlJa7I7MH4gr337NRaMWKAtyyIBxpsrvB1JN02zAMA0zQLDMNKc5/sC+9zu2+8819n5YxiG8WPgxwD9+/c/saj+ciGU7T2x7/GExP5w5bvHfftdd93Fc889x5NPPsn06dMpLi5m/fr1x9xXU1PDOeecw+mnn87q1aspLS3lv//7v7nmmmt4++23j/t5TzzxBC+++CIvvvgip512Gn/605947bXXmDDB2nHe1NTEBRdcwLXXXstrr71GY2Mj69atIyQk5LifISIiwSsnPaf1eG3hWi4eerGN0Yh0b1/FPm5ffjubD7d9eP+9wd/jzkl3Eh0WbWNkInKyfJ3wdqajj8rMLs4fe9I0XwBeAMjJyTmxQqGyvVCad0Lf4mtVVVU89dRTPP3001xzzTUADB48mKlTpx5z72uvvUZVVRV//etfiYuLA+CFF17g7LPPZufOnQwePPi4nvn0009z++23c8kllwDwzDPP8NFHH7Ver6iooKysjPPPP59BgwYBMHz48FP65xQRkeCRGZdJalQqxbXFalwlfm/RrkU8suoRqhurAYgJi+G+Kffx7exv2xyZiJwKXye8hYZhZDhXdzOAIuf5/UA/t/sygYPO8zOOOr/M41ElnuCKsA3Pzc3Npb6+nlmzZnV779atWznttNNak12AadOm4XA4yM3NPa6Et7y8nIKCgnYJtcPhYPLkyezbZy26u7ZKz5s3j1mzZjFr1izmz59Pv379OntZERHpQQzDYGL6RD7c/SEF1QUcrDpIn9g+docl0k5NYw2/+vJXvJ/3fuu5MSljeHz64/SL0880IoHO1wnv+8BVwGPO399zO3+DYRhvYDWtKncmxR8Bv3Z1cwbmAh0XrZ6KE9hWbJcT6W5pmman9SWu8w6H45jXbGxsPOG4Xn31VW6++WY+/PBD3n//fe6++27effdd5s2bd8KvJSIiwceV8IK1rVkJr/iT3MO53L78dvZU7Gk9d83oa7hh/A2EOcJsjExEPMWbY4n+F1gJDDMMY79hGNdiJbpzDMPYAcxxfg3wAbAL2Am8CFwHYJpmKfAw8JXz10POcz3OyJEjiYiIYOnSpcd179dff01lZWXruRUrVtDS0sKIESMASE1NpaCgoN33bdiwofU4ISGBjIwMVq1a1XrONE1Wr159zPPGjh3LHXfcwbJly5gxYwZ//vOfj7lHRER6JvfGVdrWLP7CNE3+suUvLPhgQWuymxKVwvNznueWibco2RUJIl5b4TVN84edXDpmT65pLTVe38nrvAK84sHQAlJcXBw33XQTCxcuJCIigunTp3P48GHWrl3Lz372s3b3LliwgPvvv58rr7yShx56iCNHjvCTn/yEiy66qHU788yZM/nNb37DK6+8wvTp03nnnXf44osvyMzMbH2dm266iUcffZShQ4cyZswYnn32WQoKCsjIyAAgPz+f559/nu9+97v07duXXbt2sXHjxmPiERGRnmtQ4iASIhIory9Xwit+4XDtYe794l7+c+A/refO6HsGvzrjV/SK6mVjZCLiDf7StEqOw6OPPkpSUhIPP/ww+/fvJz09nSuvvPKY+6Kjo/noo4+4+eabmTRpEpGRkVxwwQU888wzrffMmzeP+++/n7vvvpuamhoWLFjAddddx/vvt9Wv3HrrrRw6dIgf/ehHAFxxxRUsWLCArVu3tj5n+/btzJ8/n5KSEtLT01mwYAF33HGHl/8kREQkUDgMB+PTxrNs3zJ2V+ympLaElKgUu8OSHmpVwSoW/mchJbUlAIQ6Qrl5ws1cMfIKHIbXNj6KiI2ME6kNDRQ5OTnmmjVrOry2devW1m29Etz071pExD/8ecuf+d2a3wHwxFlPMHfgXJsjkp6msaWRZzc8y8ubXsZ0DvzoH9ef35z1G0b1GmVzdCJyMgzDWGuaZk539+mjLBEREfEq9zredUXrbIxEeqL9lfu5+t9X89Kml1qT3fOzz+fN899UsivSA2hLs4iIiHjV8OThRIVGUdtUqzpe8akP8z/kwZUPUtVYBUB0aDT3TLmH8wedb3NkIuIrSnhFRETEq0IdoYxLHcfKgpVsK91GRUMF8eHxdoclQcI0TQqqC6hrrqNfbD/CQsKoaazhsdWP8Y+d/2i9b2Svkfx2+m/pH9/fxmhFxNeU8IqIiIjXTUyfyMqClZiYbCjawPTM6XaHJEHgiwNf8My6Z9haajXUTI5MZk7/OXx56Et2V+xuve+qkVdx04SbCAvRuCGRnkYJr4iIiHjd0fN4lfDKqfrP/v9wwyc30GK2tJ4rrSvl79v/3vp1cmQyv/rWr/hW32/ZEaKI+AElvCIiIuJ1Y1LHEOYIo7GlUXW8cspM0+R3a37XLtk92tjUsTx99tMagyXSw6lLs4iIiHhdREgEY1LGALClZAu1TbU2RySBLK8sj13lu7q8Z1rGNCW7IqKEV0RERHzDta25yWxiY/FGm6ORQFbTVNPtPbXN+lBFRJTwioiIiI+0m8dbqHm8cvKyE7IJNbquzBvZa6SPohERf6aEV7pkGAZvvfVWp197w9VXX815553n1WeIiIjvjU0di4EBwOvfvM6Ta59kb8Vem6OSQNPc0swf1v+BJrOp03syYjKY3X+2D6MSEX+lplXMmjlQAAAb7ElEQVTid5555hlM07Q7DBER8aAWs4XHVj+GifX+XlZfxqubX+UvW/7CA9Me4MLBF9ocoQSC6sZqbl9+O8v3L+/0nvTodP40608aQSQigBJe8aHGxkbCwrr/yychIcEH0YiIiC+98c0bvJf33jHnm83/396dh0dV5fkff38hQbIQTAxRgiiI7IsLacEN0fQ0goLdAjrK2EJjKzaoqDgMoDbi0i6gotKKjqItkR9u2EzPT1BBBVvABhoRjIDIIkFBcBAUJISc+aMumSRUFVvdW6Hq83qePNzcuqnPOZXimzr3nLq1lz9+/Efa57an2bHN4tAyOVp8+9O3DJk1hBX/swKA9JR0Hu7yMBmpGcxaP4vde3fToUEHLm5yMXVT6sa5tSJSU2hJ81Fkzpw5dO7cmczMTOrXr0+nTp1YtmwZL774IpmZmbz99tu0atWK9PR0evXqxQ8//MDrr79O8+bNqV+/Ptdccw27dv3fBRxmzJjB+eefT3Z2Njk5OXTr1o3i4uKYtHXt2rWYGVOmTOGiiy4iLS2NiRMnsnXrVq666ipOPPFE0tLSaNu2LZMmTarys9WXNHft2pU//OEPjBw5ktzcXPLy8hg2bBjl5ZE/ikBERGqWKV9MiXhbuStn6oqpEW8X+Xzr5/T7734Vg93j04/nL93/wgWNL6DghAKGnzWcu8++m1+f+msNdkWkCs3wAte/cz0bf9oYeG5+Rj7P/urZgzq2rKyMyy67jIEDB1JUVMSePXtYvHgxtWvXBmD37t2MGzeOoqIiSktL6d27N3369KFu3bq88cYbbN26lcsvv5w///nP3H777QD89NNPDB06lA4dOrBr1y7uu+8+evbsyeeff06dOnVi0scRI0YwduxYnn/+eVJTU/n5558588wzGT58OFlZWbz33nvccMMNnHTSSRQWFka8n6KiIm655RY+/vhjlixZwtVXX03Hjh256qqrYtJOERHxT1l5GWu3r416zJfbvgymMXLUeX/9+wyfO7zio6xa57TmqcKnyEvPi3PLRORooAEvsPGnjazbvi7ezYhq+/btbNu2jZ49e9KsWWjJV6tWrQBYsGABZWVlTJgwgZYtWwJw9dVX89hjj7Fp0yZyc0OfQXfZZZfx/vvvVwx4e/fuXSVj0qRJZGVl8cknn3DeeefFpN033XQTffr0qbLvjjvuqNi+/vrrmT17NlOmTIk64G3Tpg1jxowBoEWLFjz33HPMmjVLA14RkaNAbatNekp61I+SyaqTFWCL5GjgnGNy8WQe+ccjFe/97tq4Kw+d/xDpqelxbp2IHC004CU001rTc3Nycujfvz/dunWjsLCQwsJC+vbtS+PGjQE45phjKga7AMcffzwnnHBCxWB3377PP/+84vvVq1dz1113sWDBAr777jvKy8spLy9n/frYXTGzoKCgyvd79+7lwQcfZOrUqZSUlLB7925KS0vp2rVr1Pvp0KFDle/z8/PZvHlzzNopIiL+MTO6N+3OG6veiHhMj6Y9AmyR1HRl5WU8+MmDVZa6X9PmGm7veDu1a9WOY8tE5GijAS8c9LLieJs0aRJDhw5lxowZTJ8+nVGjRvHWW28BkJJS9VdpZvtdIMrMqrzvtWfPnjRq1IiJEyfSqFEjUlJSaNOmDaWlpTFrc0ZGRpXvx44dy7hx4xg/fjzt27cnMzOTkSNHHnDweqC+iIhIzTbotEHMLZnL5p371/tz88+l8KTIq3wkufxY+iPD5gzj7yV/B0IrBEacNYIrW10Z55aJyNFIF606ypx22mkMHz6cDz74gK5du/LSSy8d1v1s3bqV4uJiRo4cyS9/+Utat27Njh07KCuL/Jl2sfDRRx/Rs2dPrrnmGk4//XSaNWvGypUrfc0UEZH4OyHjBCZ3n0zPU3pSp1boOhE5dXO4ocMNPHHRE5q1EwC++fEbfjvjtxWD3YzUDJ4qfEqDXRE5bJrhPUqsWbOGiRMn0qtXLxo1asRXX33F0qVLufHGGw/r/rKzs8nNzeW5556jcePGlJSUcMcdd+w3UxxrLVq0YOrUqXz00Ufk5uby5JNPsmbNGs444wxfc0VEJP4aZjbkgfMfYPQ5o9m5Zyf16tTTQFcqLN+ynCGzh7Bl1xYgdJJkQuEEWmS3iHPLRORophneo0R6ejorV66kb9++tGjRgmuvvZZ+/foxfPjww7q/WrVqMXXqVJYuXUq7du0YPHgw9957L8ccc0yMW17VnXfeyVlnnUX37t3p0qULGRkZ9OvXz9dMERGpWerUrsOxdY/VYFcqzFo3i/4z+lcMdtse15ZXeryiwa6IHDFzzsW7DTFXUFDgFi5cGPa24uJiWrduHXCLJB70uxYREanZnHO8tPwlHl30aMWVmAtPKuRP5/+JtJS0OLdORGoyM1vknCs40HFa0iwiIiIigdtTvoc/LfgTr618rWJf/7b9ubXjrdQyLUIUkdhQNZHD8sADD5CZmRn2q3v37vFunoiIiNRgO0p3MPi9wRWD3dpWm7vPvpvbC27XYFdEYkozvHJYBg0axBVXXBH2trQ0LUESERGR8Ep+LGHIrCF8ue1LADJTMxl3wTjOaXROnFsmIolIA145LDk5OeTk5MS7GSIiInIU+ey7zxgyewjf//w9APkZ+UwonMCp2afGuWUikqi0ZkREREREfPfO2ncYMHNAxWC3fW57ii4p0mBXRHylGV4RERER8Y1zjheWvcDjix+v2PcvJ/8L9593v67ELCK+04BXRERERHyxp3wP982/jzdXvVmxb2C7gdx85s26OJWIBEIDXhERERE5Is45Fm5ayPTV09m6aysnZ53MxU0u5sklT7LgmwUApFgKd519F5c3vzzOrRWRZKIBr4iIiIgctnJXzph5Y3hj1RsV++aWzGVy8eSK7+ul1uPRCx+lc8PO8WiiiCQxrSU5SnTt2pUhQ4Yc9u1BGT16NO3atYt3M0RERCQgb335VpXBbnV5aXlM7jFZg10RiQvN8B4B5xwAZhbnlsCbb75JampqvJvBsGHDuOmmm+LdDBEREQnIlC+mRL294/EdOeXYUwJqjYhIVRrwHoY5K7/j6Q9W88na76ldy7iwZQNuuqg57RrVj1ub/P5M3NLSUurUqXPA4zIzM8nMzPS1LSIiIlJzfLnty6i3f73j64BaIiKyPy1pPkSvLvya377wCfO+2sreckdpWTkzl2/i8qc/5uPVW3zNLisr45ZbbiE7O5vs7GzuuOMOysvLgf2XNG/atIlevXqRlpbGySefzKRJk2jXrh2jR48+qCwzY8KECVx++eVkZGQwcuRI9u7dy8CBA2natClpaWk0b96chx9+uKINsP+S5v79+3PppZcyfvx4GjVqRHZ2NgMGDGDnzp2xeVBEREQkrurXiX7Cv37d+E0IiIhowHsItv+8h9HTl4e9rbSsnFHTllFe7nzLLyoqory8nHnz5jFx4kSeffZZHn/88bDHXnvttaxbt47Zs2fz17/+lcmTJ7Nu3bpDyrvnnnvo0aMHn332GYMHD6a8vJxGjRrx6quvUlxczP33388DDzzApEmTot7P3LlzWbZsGe+99x5Tp05l2rRpjB8//pDaIiIiIjVTj1N6RL39kqaXBNQSEZH9aUnzIZi57Ft2lu6NePuaLT/xz6+30fHkbF/yGzZsyBNPPIGZ0apVK1auXMmjjz7KbbfdVuW4FStWMHPmTObNm0fnzqELRLz44os0adLkkPKuvPJKrrvuuir7xowZU7HdpEkTFi9ezJQpUxg4cGDE+8nKyuLpp58mJSWF1q1b07dvX2bNmsWIESMOqT0iIiJS8wxsN5D317/Phh837HdbpxM6cXHTi+PQKhGREM3wHoLvfyo94DFbf9ztW37nzp2rXCDr7LPPpqSkhO3bt1c57osvvqBWrVoUFBRU7GvcuDH5+fmHlFf55/d55plnKCgooEGDBmRmZvLYY4+xfv36qPfTpk0bUlL+79xKfn4+mzdvPqS2iIiISM10XNpxvNzjZfq06EPdlLoA5NTN4foO1/NU4VOk1or/RTVFJHlphvcQNM3NOOAxpzQ48DF+23f16COVkVG1L1OnTmXo0KGMHTuWc845h6ysLCZMmMC0adOi3k/1q0ebWZX3/YqIiMjRLTctlz+e/UdGdRrFrrJdZKRmUMs0ryIi8acB7yG4sFUe+fXrsvGHn8Pe3qlpDqfm1fMtf8GCBTjnKmZ558+fT35+PllZWVWOa926NeXl5SxatIhOnToBsGHDBjZu3HhE+R999BGdOnWqcnGs1atXH9F9ioiISOJIqZVCvTr+vRYSETlUOvV2CFJr12JCvzPJqrv/eYJGx6Yxtu9pvuZv3LiRoUOHsmLFCl5//XUeeeQRbr311v2Oa9myJd26dWPQoEHMnz+fJUuWMGDAANLT04/oM4NbtGjB4sWLefvtt1m1ahX33nsvH3744ZF0SURERERExDea4T1EZ5yUzbu3XUDR/HXMX/M9qbWNC1vmccUvGpNV19/3qPTr14+9e/fSqVMnzIyBAweGHfBC6CJVv//97+natSt5eXmMGTOGr776irp16x52/g033MCSJUu4+uqrcc7Ru3dvbr/9dl544YXDvk8RERERERG/WKze71mTFBQUuIULF4a9rbi4mNatWwfcovjbsmUL+fn5TJkyhd69e8e7OYFI1t+1iIiIiEiiM7NFzrn9r7JbjWZ4E9Ts2bPZsWMH7du3Z/PmzYwaNYrc3FwuvlgfDSAiIiIiIslB7+FNUHv27OHOO++kffv29OzZk7S0NObMmUNGRgZFRUVkZmaG/Wrbtm28my4iIiIiIhITmuFNUN26daNbt25hb+vVq1fF1Zurq/4RQiIiIiIiIkcrDXiTUL169ahXTx8ZICIiIiIiiS0plzQn4oW6pCr9jkVEREREJOkGvKmpqezatSvezRCf7dq1S8uzRURERESSXNINePPy8igpKWHnzp2aBUxAzjl27txJSUkJeXl58W6OiIiIiIjEUdK9hzcrKwuAjRs3smfPnji3RvyQmprK8ccfX/G7FhERERGR5JR0A14IDXo1GBIREREREUlsSbekWURERERERJKDBrwiIiIiIiKSkDTgFRERERERkYSkAa+IiIiIiIgkJA14RUREREREJCFZIn4WrZl9B6w7zB/PBbbEsDnKrRmZyk3s3GTqa7LlJlNfky03mfqabLnJ1Ndky02mviZb7tHY15Odcw0OdFBCDniPhJktdM4VKDexMpWb2LnJ1Ndky02mviZbbjL1Ndlyk6mvyZabTH1NttxE7quWNIuIiIiIiEhC0oBXREREREREEpIGvPt7VrkJmancxM5Npr4mW24y9TXZcpOpr8mWm0x9TbbcZOprsuUmbF/1Hl4RERERERFJSJrhFRERERERkYSkAa+IiIiIiIgkJA14PWb2gpltNrNlAec2NrP3zazYzJab2S0BZNY1s0/M7FMv8x6/M6vl1zazf5rZ3wLMXGtmn5nZEjNbGGDusWb2upl94f2Oz/Y5r6XXx31f281sqJ+ZlbJv9Z5Py8xsipnVDSj3Fi9zuZ99DVcjzCzHzN41s1Xev9kB5fb1+ltuZjG/lH+EzEe85/FSM5tmZscGlHuvl7nEzN4xs/wgcivdNszMnJnlBpFrZqPNrKTS/+Eefmd6+28ysxXe8+rhWGZGyjWzqZX6udbMlgSUe7qZzd/398DMzgoo9zQzm+f9LfovM8uKcWbY1xN+16kouX7XqUi5vtWqKJm+1qlIuZVu96VORemv33UqYn/9qlVR+uprnYqS62udipLrd52KOgYxsyfN7MdYZgLgnNNX6H3MXYAzgWUB5zYEzvS26wErgTY+ZxqQ6W2nAguAzgH2+TbgFeBvAWauBXKD/N16uS8B13nbdYBjA8yuDXxL6EO5/c5qBKwB0rzvXwX6B5DbDlgGpAMpwHtAc5+y9qsRwMPAf3jb/wE8FFBua6Al8AFQEFDmr4AUb/uhAPuaVWn7ZuCZIHK9/Y2BmcA6P+pHhP6OBobFOusAmRd6/3eO8b7PC+oxrnT7OODugPr7DtDd2+4BfBBQ7j+AC7zt3wH3xjgz7OsJv+tUlFy/61SkXN9qVZRMX+tUpFzve9/qVJT++l2nIuX6VquiPcaVjol5nYrSV1/rVJRcv+tUxDEIUAC8DPwY6+eUZng9zrk5wPdxyP3GObfY294BFBMaPPiZ6Zxz+86epHpfgVy9zMxOBC4B/jOIvHjyzop1AZ4HcM6VOue2BdiEQmC1c25dQHkpQJqZpRAagG4MILM1MN85t9M5VwZ8CPzGj6AINeIyQic18P79dRC5zrli59yKWGcdIPMd7zEGmA+cGFDu9krfZuBDrYpS/x8D/t2PzAPk+iZC5o3Ag8653d4xmwPKBcDMDLgCmBJQrgP2zVrUx4daFSG3JTDH234X6B3jzEivJ3ytU5FyA6hTkXJ9q1VRMn2tUwd4rehbnYrHa9QD5PpWqw7UV7/qVJRcX+tUlFy/61TYMYiZ1QYeIfRcjjkNeGsQM2sCnEHobIffWbW9ZRmbgXedc75neh4n9GQuDyhvHwe8Y2aLzOz6gDJPAb4DJlloCfd/mllGQNkA/4oPLyDDcc6VAGOB9cA3wA/OuXcCiF4GdDGz48wsndBZ0MYB5O5zvHPuGwj98QDyAsyOp98BbwcVZmb3m9nXQD/g7oAyewElzrlPg8irZoi3PPKFWC8/jaAFcL6ZLTCzD83sFwFkVnY+sMk5tyqgvKHAI95zaiwwIqDcZUAvb7svPtaqaq8nAqtTQb6OOchc32pV9cyg6lTl3CDrVJjHOJA6VS03kFoV4fnke52qlhtYnaqW63udijAGGQJM31erYk0D3hrCzDKBN4Ch1c4U+sI5t9c5dzqhM59nmVk7vzPN7FJgs3Nukd9ZYZzrnDsT6A4MNrMuAWSmEFrS9rRz7gzgJ0LLyXxnZnUIFazXAsrLJjSL0BTIBzLM7N/8znXOFRNasvYuMAP4FCiL+kNyRMxsFKHHuCioTOfcKOdcYy9ziN953smTUQQ0uK7maaAZcDqhk0fjAshMAbKBzsAdwKvebEZQriKgk3OeG4FbvefUrXircALwO0J/fxYRWkJY6kdI0K8namqun7UqXGYQdapyLqG+BVKnwvQ3kDoVJtf3WhXleexrnQqTG0idCpPre50KMwbpQmhw/WSss/bRgLcGMLNUQk+2Iufcm0Fme0tsPwAuDiDuXKCXma0F/h9wkZlNDiAX59xG79/NwDQg5hcpCWMDsKHS7PnrhAbAQegOLHbObQoo75fAGufcd865PcCbwDlBBDvnnnfOnemc60JoCWFQs0QAm8ysIYD3b8yXgtYkZnYtcCnQzzkXjw9xf4UYL6+KoBmhkzefevXqRGCxmZ3gd7BzbpP3YqAceI7gatWb3lKzTwitwIn5RbrC8d4CcTkwNYg8z7WEahSETgoG8RjjnPvCOfcr51xHQi+cV8c6I8LrCd/rVLxex0TK9bNWHURffalTYXIDqVPh+htEnYrwOPtaq6I8n3ytUxFyfa9TEX63vtepfSqNQS4ETgW+9J7L6Wb2ZSyzNOCNM+/M1PNAsXPu0YAyG5h31UIzSyM0WPnC71zn3Ajn3InOuSaEltvOds75PgtoZhlmVm/fNqELWvh+NW7n3LfA12bW0ttVCHzud64n6BmT9UBnM0v3ntOFhN4P4jszy/P+PYnQH6Qg+z2d0B8lvH//GmB2oMzsYmA40Ms5tzPA3OaVvu1FMLXqM+dcnnOuiVevNhC6uMe3fmfvG5h4fkMAtQp4C7jIy29B6AJ7WwLIBe/vj3NuQ0B5EHov3AXe9kUEdJKsUq2qBdwJPBPj+4/0esLXOhWP1zHRcv2sVVEyfa1T4XKDqFNR+utrnYrynPKtVh3geexbnYqS62udivK79btOhRuDLHLOnVDpubzTOXdqLHNjegWso/mL0Ivkb4A9hIrGwIByzyP0/tKlwBLvq4fPmR2Af3qZy/DhypgH0YauBHSVZkLvpf3U+1oOjAqwn6cDC73H+i0gO4DMdGArUD/g3+k9hP7ILyN0lb1jAsqdS+hEwqdAoY85+9UI4DhgFqE/RLOAnIByf+Nt7wY2ATMDyPwS+LpSnfLjasnhct/wnlNLgf8idIEY33Or3b4Wf67SHK6/LwOfef2dDjQMILMOMNl7nBcDFwX1GAMvAoNinXeA/p4HLPJqxgKgY0C5txC6EupK4EHAYpwZ9vWE33UqSq7fdSpSrm+1Kkqmr3UqUm61Y2Jep6L01+86FSnXt1oV7TH2s05F6auvdSpKrt916oBjEHy4SrN5dywiIiIiIiKSULSkWURERERERBKSBrwiIiIiIiKSkDTgFRERERERkYSkAa+IiIiIiIgkJA14RUREREREJCFpwCsiIhIgM/v/+z6H8CCPb2JmQXweb7jsH71/TzezeWa23MyWmtmV8WiPiIjIoUqJdwNERESSiXOuR7zbcBh2Ar91zq0ys3xgkZnNdM5ti3fDREREotEMr4iISAyZ2b+b2c3e9mNmNtvbLjSzyWa21sxyvZnbYjN7zps5fcfM0rxjO5rZp2Y2Dxhc6b7bmtknZrbEm2lt7t3PF2b2krfvdTNLr3Q/H5rZIjObaWYNvf3NzGyGt3+umbXy9jf1ZnL/YWb37st1zq10zq3ytjcCm4EGgTygIiIiR0ADXhERkdiaA5zvbRcAmWaWCpwHzK12bHNggnOuLbAN6O3tnwTc7Jw7u9rxg4DxzrnTvfve4O1vCTzrnOsAbAf+4GU+CfRxznUEXgDu945/FrjJ2z8M+LO3fzzwtHPuF8C34TpnZmcBdYDVB/NgiIiIxJMGvCIiIrG1COhoZvWA3cA8QoPT89l/wLvGObek0s81MbP6wLHOuQ+9/S9XOn4eMNLMhgMnO+d2efu/ds793dueTGhw3RJoB7xrZkuAO4ETzSwTOAd4zds/EWjo/ey5wJQwuQB4M8QvAwOcc+UH/YiIiIjEid7DKyIiEkPOuT1mthYYAHwMLAUuBJoBxdUO311pey+QBhjgItz3K2a2ALgEmGlm1wFfhTneefezvPossZllAdu8WeKwMeF2ej/338Cdzrn5EX5WRESkRtEMr4iISOzNIbRUeA6hWd1BwBLnXNjBZGXehaB+MLPzvF399t1mZqcAXznnngCmAx28m04ys30D26uAj4AVQIN9+80s1czaOue2A2vMrK+338zsNO9n/w78a5jcOsA04C/OudcO4XEQERGJKw14RUREYm8uoWXC85xzm4Cf2X85czQDgAneRat2Vdp/JbDMW4rcCviLt78YuNbMlgI5hN6HWwr0AR4ys0+BJYSWMkNoMDvQ278cuMzbfwsw2Mz+AdSvlHsF0AXo710wa4mZRZohFhERqTHsIE42i4iISA1lZk2Avznn2sW5KSIiIjWOZnhFREREREQkIWmGV0RERERERBKSZnhFREREREQkIWnAKyIiIiIiIglJA14RERERERFJSBrwioiIiIiISELSgFdEREREREQS0v8Cz4bpRM99VvYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['windspeed2'] = (data['windspeed'] * 67).astype(np.int32)\n",
    "fig = plt.figure(figsize=(16, 8))\n",
    "sns.pointplot(x='windspeed2', y='cnt', data=data, estimator=np.mean, ci=None, hue='weathersit')\n",
    "plt.legend(['clear', 'clouds', 'small_rain', 'big_rain'], loc='best', fontsize=14, frameon=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出晴天、多云的天气，风速对租车没啥影响"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2011和2012区别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 6))\n",
    "sns.boxplot('yr', 'cnt', data=data)\n",
    "plt.xticks(plt.xticks()[0], ['2011', '2012']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "很显然2012年需求增大了，可见市场任未饱和"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 结论\n",
    "\n",
    "temp温度是影响租车的最重要的因素\n",
    "\n",
    "hum湿度也会影响自行车的租赁需求，但影响没有temp那么大\n",
    "\n",
    "workingday工作日、周末没有明显的差别"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.5 其他"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['dteday', 'season', 'yr', 'mnth', 'holiday', 'weekday', 'workingday',\n",
       "       'weathersit', 'temp', 'hum', 'windspeed', 'cnt', 'weekday_cnt',\n",
       "       'temperature', 'humidity', 'windspeed2'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['dteday', 'season', 'yr', 'mnth', 'holiday', 'weekday', 'workingday',\n",
       "       'weathersit', 'temp', 'hum', 'windspeed', 'cnt'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### 删除新增的特征\n",
    "data = data.drop(['weekday_cnt', 'temperature', 'humidity', 'windspeed2'], axis=1)\n",
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['season', 'yr', 'mnth', 'holiday', 'weekday', 'weathersit', 'temp',\n",
       "       'hum', 'windspeed', 'cnt'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### 移除无用的特征\n",
    "remove_columns = ['dteday', 'workingday']\n",
    "data = data.drop(remove_columns, axis=1)\n",
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2423f0b8>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "sns.distplot(data['cnt'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据分布略有偏差,还可以"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2427ea58>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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043akmGnFogJFnXSka9jrKAsWxRgAAKS8TF54N62hLKgsvzHP2EMUYwAAkPL2dwwo4DMtKszxOkrCBPw+NZbnM8/YQ5m3rBMAAGScA8cHtbyyQAF/ao7pPbC9JS7Ps2JRgf79lePqH51QcV5WXJ4TsUvNzy4AAIAZ9ncMaE11odcxEm7FosnjoRk19gbFGAAApLS+kXF19I9pbXWR11ESrqooV/k5AR1mnrEnKMYAACCl7e+YPAp6IRRjn5lWVE7OM3aO46GTjWIMAABS2vSOFGsXZ/5UCmnyeOihUFgnBkJeR1lwKMYAACClHTg+oPL8bFVm8I4UMzWUBSVJx/pGPU6y8FCMAQBAStvfMag11YUZeRT0mZQVZCvgM50YGPM6yoJDMQYAACkrHInq1RODWrs48+cXT/PZ5H7NFOPkoxgDAICU1dw9rFA4uiAW3s1UVZRLMfYAxRgAAKSsfVM7UiyEPYxnqirK1cBYWKPjEa+jLCgUYwAAkLIOTB0FPX3wxUJRVTS50JBR4+SiGAMAgJS1v2NAyysLlBPwex0lqaqKciVJJwYpxslEMQYAACnrwPFBrV1g0ygkqTgvSzkBHyPGSUYxBgAAKWkhHQV9OjObWoDHIR/JRDEGAAApaf+phXcLrxhLk/OMTwyMcTR0ElGMAQBASjp1FPQCnEohTc4zHhmPaCgU9jrKgkExBgAAKWl/x9RR0AUL4yjo051agMd0iqShGAMAgJS0t31A62qKFsxR0Kf7TTFmAV6yxFSMzexmMztoZofM7K6zXPNeM9tnZnvN7IH4xgQAAAvJeDiq104Oan1NsddRPFOQE1B+ToBinESB811gZn5Jd0t6k6Q2SS+Y2Rbn3L4Z16yU9HlJm51zvWa2KFGBAQBA5nvt5KAmIk7rahbmwrtp0wvwkByxjBhfIemQc67JOTcu6SFJt512zR9Iuts51ytJzrmT8Y0JAAAWkr3tkwvv1i/4YpyrE4MhRdmZIiliKcZLJLXOuN829dhMqyStMrNnzGybmd0cr4AAAGDh2dc+oGC2X43l+V5H8dTiwlyNh6PqH5nwOsqCcN6pFJLONOP99H+2BCStlHSdpFpJT5nZBc65vtc9kdmdku6UpPr6+lmHBQAAC8O+9gGtWVwov29hLrybVlU0uSMH0ymSI5YR4zZJdTPu10pqP8M1P3XOTTjnjkg6qMmi/DrOuXuccxudcxsrKyvnmhkAAGSwaNRpX8fAgl54N20RO1MkVSzF+AVJK81sqZllS7pd0pbTrvlXSddLkplVaHJqRVM8gwIAgIWhtXdEQ6Hwgl94J0m5WX6V5GXpxCB7GSfDeYuxcy4s6VOSHpG0X9LDzrm9ZvZFM7t16rJHJHWb2T5Jj0v6z8657kSFBgAAmYuFd69XVZTLiHGSxDLHWM65rZK2nvbYF2bcdpL+ZOoXAADAnO1rH5DfZ1pVtTCPgj5dVVGODnUOKRyJKuDnbLZE4t0FAAApZW97v1ZUFig3y+91lJRQVZSrSNSpuXvE6ygZj2IMAABSyuTCO6ZRTJs+GvrVE4MeJ8l8FGMAAJAyuoZCOjEQYuHdDJWFOTJJB49TjBONYgwAAFLG9MI7ivFvZPl9Ki/IZsQ4CSjGAAAgZeyb3pGimj2MZ6oqytVBinHCxbQrBQAAQCI8sL3ldfe37ulQSTBL/7anw6NEqamqKFdPHDypsYkIixITiBFjAACQMjr6x1RTnOd1jJRTUZCtqJPaeke9jpLRKMYAACAlhMIRdQ+FVF2S63WUlFMWzJYktfQMe5wks1GMAQBASjjRPyYnMWJ8BmUFOZKkFvYyTiiKMQAASAnt/ZPHHlcXM2J8uvxsv4LZfh3toRgnEsUYAACkhPa+UeVl+VWcl+V1lJRjZqovC6qVYpxQFGMAAJASOvrHVFOSKzPzOkpKqi8L6ihTKRKKYgwAADwXiTqdGGBHinNpKA+qpWdEzjmvo2QsijEAAPBc51BI4ahjR4pzqC8LKhSO6uRgyOsoGYtiDAAAPNfeN7k/bzUjxmdVX54vSWphnnHCUIwBAIDn2npHlBPwqbIwx+soKau+LChJzDNOIIoxAADwXFvvqJaU5MnHwruzmnx/GDFOJIoxAADwVDgSVUffmGpLg15HSWnZAZ+qi/PU0s3pd4lCMQYAAJ7q6B9TxDnVljK/+Hymd6ZAYlCMAQCAp9p6J4teXRkjxudTX0YxTiSKMQAA8FRb76gKcwMqyg14HSXl1ZcH1TU0ruFQ2OsoGYliDAAAPNXaO6ra0iAn3sVgemcKRo0Tg2IMAAA8MzoeUddQSHXML45JQxl7GScSxRgAAHjm2NTBHuxIEZtTI8bsZZwQFGMAAOCZ6YV3S0oYMY5FcTBLxXlZjBgnCMUYAAB4prV3VBUFOcrL9nsdJW3UlwV1lGKcEBRjAADgCeec2npGmF88S/XlQbVSjBOCYgwAADxxfGBMg6EwB3vMUn1ZUG29I4pEnddRMg7FGAAAeGJXa58kFt7NVkNZUBMRp47+Ua+jZByKMQAA8MTLrf3ym6m6ONfrKGmFnSkSh2IMAAA8sau1T9UluQr4qSOzUcchHwnDZyIAAEi6SNRpz7F+5hfPQU1JngI+Y2eKBKAYAwCApGvqHNJQKMz84jnw+0y1pXmMGCcAxRgAACTdy6cW3jFiPBf15fnMMU4AijEAAEi6XW19KswJqKIgx+soaam+jBHjRKAYAwCApNvV2q+L6orlM/M6SlpqKMtX/+iE+kcmvI6SUSjGAAAgqcYmItrfMaCLa0u8jpK22JkiMSjGAAAgqXa39SscdbqkjmI8Vw3lk8X4aM+wx0kyC8UYAAAk1fambplJVywt8zpK2mLEODEoxgAAIKm2HenWmsVFKglmex0lbRXkBFRRkM3OFHFGMQYAAEkzHo5q59FeXbmM0eL5qisLMmIcZxRjAACQNLvb+jQ2EdWVy8q9jpL26suCOsqIcVxRjAEAQNJsa+qWJF3RyIjxfNWVBnV8YEzhSNTrKBmDYgwAAJJmW1OP1iwuVGk+84vnq64sT5GoU0f/mNdRMgbFGAAAJMVv5hczjSIeaksnd6Zo7WU6RbxQjAEAQFLsOdan0YkIC+/ipG6qGLf1jHqcJHNQjAEAQFJsa+qRJF2xlBHjeKguyZXPGDGOJ4oxAABIim1N3VpdVagy5hfHRZbfp+riPLX1MmIcLxRjAACQcBORqHY0s39xvNWW5qmVvYzjhmIMAAASbndb/9T8YqZRxFNtaZAR4ziKqRib2c1mdtDMDpnZXee47j1m5sxsY/wiAgCAdLf9yNT+xUsZMY6nurI8nRgcUygc8TpKRjhvMTYzv6S7Jd0iaZ2k95vZujNcVyjpM5K2xzskAABIb9uaerSqqkDlBTleR8kodaVBOScdY9Q4LmIZMb5C0iHnXJNzblzSQ5JuO8N1X5L0FUnsMg0AAE6ZnF/co03sRhF3taV5ksR0ijiJpRgvkdQ6437b1GOnmNmlkuqccz+PYzYAAJABXjnWr5Fx5hcnQl0Zh3zEUyzF2M7wmDv1QTOfpK9K+tPzPpHZnWa2w8x2dHZ2xp4SAACkren9izexI0XcVRXlKstvjBjHSSzFuE1S3Yz7tZLaZ9wvlHSBpCfMrFnSlZK2nGkBnnPuHufcRufcxsrKyrmnBgAAaWNbU7dWLCpQBfOL487vM9WUsGVbvMRSjF+QtNLMlppZtqTbJW2Z/qBzrt85V+Gca3TONUraJulW59yOhCQGAABpY2wioheae9i/OIHqSoNqZcQ4Ls5bjJ1zYUmfkvSIpP2SHnbO7TWzL5rZrYkOCAAA0tezh7s0Mh7RTWurvI6SsWpL83SMOcZxEYjlIufcVklbT3vsC2e59rr5xwIAAJngkVdOqCAnoKuWs/AuUerKguoaGtfIeFjB7JiqHc6Ck+8AAEBCRKJOj+0/oevXLFJOwO91nIw1vWUbexnPH8UYAAAkxM6jveoeHtdb1jONIpFqS9myLV4oxgAAICEe2Xtc2X6frl3FTlSJVFc2OWLc2sOI8XxRjAEAQNw55/TovuPavKJchblZXsfJaJUFOcoJ+NTGiPG8UYwBAEDc7e8YVGvPqN6yfrHXUTKemam2NI8R4zigGAMAgLh7dN9xmUk3sk1bUtSWBtXWx4jxfFGMAQBA3D2y94Q2NpSqspDT7pKhrowR43igGAMAgLhq7RnR/o4BvXkd0yiSpa40qP7RCQ2MTXgdJa1RjAEAQFw9sve4JDG/OImmt2xrY9R4XijGAAAgrh7de0JrFheqvjzodZQF49SWbexMMS+cGwgAAOLige0tGgqF9UJzj65fs0gPbG/xOlJGOdf7ORwKS5K2vNyu7qFxSdIdm+qTkiuTMGIMAADi5kDHgJykddVFXkdZUILZfmUHfOoZGfc6SlqjGAMAgLjZc6xfpcEsVRfneh1lQTEzlQWz1TtMMZ4PijEAAIiLkwNjeu3kkC5rKJWZeR1nwSkJZqlvhF0p5oNiDAAA4uLZpm4FfKYrlpZ7HWVBKs3PVs/IuJxzXkdJWxRjAAAwb73D43qppVeX1JWoIIe1/V4oDWZrPBzV6HjE6yhpi2IMAADm7cEXWjQRcXrD8gqvoyxYZcEsSWIB3jxQjAEAwLxMRKL6zrNHtaKyQItZdOeZ0vxsSVIv84znjGIMAADmZeueDh0fGNMbVjC32EulwalizM4Uc0YxBgAAc+ac031PH9Gyinytqir0Os6ClpvlV16WX71MpZgzijEAAJizF1t6tautXx/Z3CgfW7R5riw/Wz2MGM8ZxRgAAMzZfU83qyg3oHdfVut1FEgqL8hWN8V4zthPBQCABeCB7S2z/jN3bKo/58fbekf076906A+uWaZgNpUiFZTnZ2tPW7/C0ajXUdISI8YAAGBOvvbYazIzfeiqRq+jYEp5QY6cpL5hdqaYC4oxAACYtUf3HtcPd7bpj65dppqSPK/jYEr51JZtXcMhj5OkJ4oxAACYla6hkD7/4z1aX1Okz964yus4mKG8IEeS1D3EPOO5YEIQAACImXNOd/1ojwZDYT30vkuUHWCMLZXkZ/uVE/CpmxHjOeGzGQAAxOzhHa16bP8J/flbVmsl+xanHDNTRUEOI8ZzRDEGAAAxaeke0Rd/tk9XLSvXRzcv9ToOzoIt2+aOYgwAAM4rEnX60x+8LJ+Z/sd7L5bPx2Eeqao8P1u9w+MaD7Nl22xRjAEAwDkNhcL6xPd26oXmXv3Nreu1hF0oUtr0lm1tvSNeR0k7FGMAAHBWR7uH9a5/fEb/ceCkvvD2dXrXhiVeR8J5TG/Z1tw97HGS9MOuFAAA4IyeOdSlTz7wopyTvv2RK3T1ygqvIyEG01u2NXcxYjxbFGMAAPA6kajTc03d+q8/Pa7llfn65gc3qqE83+tYiNH0lm2MGM8exRgAAEiSQuGIdjT36pnDXeobmdCb1lXpq++7RAU51IV0Mr1l25EuivFs8ZkOAMACNzA2oW2Hu7X9SI9GJyJqKA/q7RfW6Iu3rWf3iTRVXpCto91MpZgtijEAAAvQSCisve0D2n2sT02dkyOL62qK9MaVlaovC0oSpTiNledn65Vj/RoPRzmdcBYoxgAALBChcET72ge0q61Ph04OKeomC9R1qyu1ob701KItpL/yghxF3eSWbcsqC7yOkzYoxgAAZLBI1Om5w936wY5W7W0f0HgkqpJglq5eUaELa0tUU5wrM0aGM83MLdsoxrGjGAMAkIFODozp+9tb9C8vtOr4wJhys3y6uK5Yl9aVqqE8SBnOcGzZNjcUYwAA0tAD21vO+Hhrz4iea+rWnrZ+RZzTqqoCXb+mXmsWFyrLz1zThSI/26/CnABbts0SxRgAgDQXdU772gf01Gudau0dVU7Ap03LynTlsnJVMG94QTIzNVbks2XbLFGMAQBIU5Go0662Pv36YKc6h0Iqy8/WOy6q1ob6UuVk+b2OB481VuRrV2uf1zHSCsUYAIA0EwpHtK2pW0++1qm+kQktLsrV7ZfX6YIlxfIxdxhTGsuD+rfd7WzZNgsUYwAA0sR4OKqHd7Tq7scPqaN/TPVlQd16cY1WVxWymA6/pbE8ny3bZoliDABAnJ1tYdzZ3LGp/pwfn4hTxx4lAAAWaklEQVRE9aOdbfq/vzqkY32juqyhVLdcUK3llfkUYpxVY8XkQS1s2RY7ijEAACnKOadH953Q/791v5q7R3RxXYm+/K4Ldc3KCj34fKvX8ZDiGsvzJbFl22xQjAEASEH72gf0pZ/v03NN3Vq5qEDf+tBG3bBmESPEiFlZfjZbts0SxRgAgBTSORjS/3z0oP5lR6tK8rL0pdvW6/1X1CvAHsSYpekt25q7GTGOFcUYAIAU8cje4/r8j/docGxCH9u8VJ++YaWKg1lex0IaY8u22Ynpn59mdrOZHTSzQ2Z21xk+/idmts/MdpvZf5hZQ/yjAgCQmYZDYd31o936w+/uVE1JrrZ+5o36q7evoxRj3hrLg2rrHdF4OOp1lLRw3hFjM/NLulvSmyS1SXrBzLY45/bNuOwlSRudcyNm9glJX5H0vkQEBgAgk7T0jOiNX3lcvcPjunZVpW5cu0gvNPfqheZer6MhA7Bl2+zEMmJ8haRDzrkm59y4pIck3TbzAufc48656Qks2yTVxjcmAACZ57nDXbrnycOKOqePv3GZ3rJ+sQI+5hIjfmZu2Ybzi+Wrb4mkmXvCtE09djYfk/Tv8wkFAEAmc87pl/tO6Ge7O7S6qlCfuWGlllbkex0LGWh6y7amTopxLGJZfHemfWHcGS80+4CkjZKuPcvH75R0pyTV1597M3MAADJR1Dlt2dWu54/0aGNDqW67ZIn8PrZgQ2KUF+SosjBH+zsGvY6SFmIZMW6TVDfjfq2k9tMvMrObJP2lpFudc6EzPZFz7h7n3Ebn3MbKysq55AUAIG2FI1E99EKrnj/So2tXVeqdl1KKkXjrqou0r2PA6xhpIZZi/IKklWa21MyyJd0uacvMC8zsUknf0GQpPhn/mAAApLfxcFTfee6oXjnWr7desFhvWb+YwzqQFOtqinTo5CA7U8TgvFMpnHNhM/uUpEck+SXd55zba2ZflLTDObdF0n+XVCDpB1Nf5C3OuVsTmBsAgLQRdU7/sqNVhzuH9J4NtdrQUOp1pJg8sL3F6wiIg3XVRZqIOL12clDra4q9jpPSYjrgwzm3VdLW0x77wozbN8U5FwAAGWPrng7t7xjQOy6qTptSjMyxvqZI0uQx4xTjc2NPGAAAEuiZQ1169nC3Ni8v11XLK7yOgwWooTxfwWy/9rYzz/h8KMYAACTIvvYBbd3ToXXVRbrlwmqv42CB8vtMaxYXsgAvBhRjAAASoK13RP+yo0VLSvP03o118rHQDh5aV1Ok/e0Dcu6MO+5iCsUYAIA46x+d0HeeO6qCnIB+/8oGZQf4dgtvrasu1mAorLbeUa+jpDS+UgEAiKPxcFQPPt+i8XBUH7yqUYW5WV5HArRuagEe84zPjWIMAEAcfXnrfrX0jOhdG5aoqijX6ziAJGl1VaF8JuYZnwfFGACAOPnpy8d0/7PN2ry8XBfVlngdBzglL9uvZZUF2seI8TlRjAEAiIODxwd114/26PLGUt18ATtQIPWsqy7SfkaMz4liDADAPA2OTegT39upgtyA7r5jg/w+dqBA6llfU6RjfaPqHR73OkrKohgDADAPzjn95x/s1tGeEd19xwYtYl4xUtT0AjxGjc+OYgwAwDzc82STfrH3uD5/yxpdsbTM6zjAWa2tnjoammJ8VhRjAADm6NnDXfr7XxzQWy9crI9dvdTrOMA5VRTkqKoohwV450AxBgBgDo73j+kzD76kpRX5+sp7LpZxsh3SwLrqIkaMz4FiDADALI2Ho/rj7+/U6HhE3/j9y1SQE/A6EhCTdTVFOnRySGMTEa+jpCSKMQAAs/Tlrfv1YkufvvKei7ViUaHXcYCYrasuVjjqdOjkkNdRUhLFGACAWfjxi226/9lmfezqpXrbRexXjPQyvTMF84zPjGIMAECMHtt3Qn/+w926clmZ7rpljddxgFlrKAsqP9uvve39XkdJSRRjAABi8OyhLv3xAy9qfU2RvvnBjcry8y0U6cfnM61lAd5Z8VUNAMB57Dzaq49/Z4eWlufr/o9cocLcLK8jAXO2rqZI+zsGFY06r6OkHIoxAADnsLe9Xx/+5+e1qDBH3/3YFSrNz/Y6EjAv66qLNBQKq6VnxOsoKYdiDADAWexrH9AHv/W8CnMC+t7HN3HcMzLCJfUlkqTtR7o9TpJ6KMYAAJzGOaeHnm/RO//xGQX8pu99fJNqS4NexwLiYnVVoRYX5eqJg51eR0k57EgOAEhrD2xvmdX1d2yqP+fHR8bD+qufvKIfv3RMV6+o0DWrKrWtqUfbmnrmExNIGWam69dU6me7OjQRibKQdAbeCQAAprx2YlC3/cMz+snLx/S5m1bq2x+9glPtkJGuXbVIQ6GwdjT3eh0lpfDVDgBY8PpGxvXNp5p039PNCmb79d2PbtLVKyu8jgUkzOYV5crym5549aSuWl7udZyUQTEGACxY/aMT+tbTR3Tf00c0PB7W2y6s1n99+zpVscgOGa4wN0uXN5bpiQOd+vwta72OkzIoxgCABefk4Jge2N6i+54+ooGxsG65YLE+e9NKrVlc5HU0IGmuW12pL289oPa+UdWU5HkdJyVQjAEAC4JzTk1dw/rk91/UI3uPKxx1umntIn3uplW6YEmx1/GApLt+9SJ9eesBPXGw87yLUhcKijEAIKOFwhHtPNqrbU3d6hoaV3Felj78hka9f1O9llcWeB0P8MyKRQVaUpKnxw+epBhPoRgDADLS4NiEnjvcre1HejQ6EVFdaZ7ec1mt/tvvXKDcLL/X8QDPmZmuW12pf33pmELhiHICfF1QjAEAGaVneFy/fvWkXmrpUyTqtLa6SNesrFB9eb4k6ccvHvM4IZA6rl+9SN/f3qIdzb3avIKdWCjGAICMMDYR0RMHT+qZw90ySRvqS3X1igpVFOZ4HQ1IWW9YUa5sv09PHDxJMRbFGACQ5qLOaefRXj2674SGQ2FtqC/Vm9dVqSgvy+toQMoLZge0aVmZHj/Yqb98m9dpvEcxBgCkrZ1He3X344fU0T+mhrKgPnRVg2pLg17HAtLKdasX6Us/36fWnhHVlS3srx+OhAYApJ2hUFh//dNX9J6vP6uR8Yhuv7xOd16zjFIMzMF1qyslSU+82ulxEu8xYgwASCu/OnBCf/mTV3R8YEwfuqpRDWVB5bDLBDBnyyryVV8W1BMHTur3r2zwOo6nGDEGAKSFkwNj+vSDL+mj9+9QYW5AP/rEG/Q3t66nFAPzZGa6fnWlnjncpf7RCa/jeIpiDABIaeFIVPc9fUQ3/s9f65FXjutP3rRKP//0G7WhvtTraEDGeN/l9RqbiOpbTzV5HcVTTKUAAKSs54/06As/fUUHjg/q2lWV+ttb16uxIt/rWEDGWVdTpLdeuFj3PdOsj2xeqtL8bK8jeYIRYwBAyjncOaTPPfSS3vuN5zQ4FtbXP3CZ7v/I5ZRiIIE+d9MqDY+H9c0FPGrMiDEAIGXsax/Q3U8c0tY9HcoJ+PTH1y3Xp25YoWA2366ARFtVVah3XFSj+59t1seuXqrygoV3OA5/0wAAPBWNOm0/0qNvPd2kx/afVEFOQH907XJ97OqlqliA35gBL332ppX6+e52fePJJv2Xt671Ok7SUYwBAAnzwPaWMz7unFNr76j2tPVpz7F+DYyFlZfl13+6aZU+/IZGFQc5tQ7wwvLKAv3OpUv0neea9fE3LtWiwlyvIyUVxRgAkBQDoxNq7h7Wka5hvXpiUL0jE/L7TKurCnVRbbHWLC7Shzc3eh0TWPA+c8NK/fTldn39iSZ94R3rvI6TVBRjAEDcjU1EdOD4oLYf6VZbz6iau4fVPTwuScoO+LS0PF83rq3Suuoi5bIPMZBSGivy9e4NS/S97Uf1h9cuU1XRwhk1phgDAOZlYGxC+9sHtLd9QPs6BvTKsX69dnJIkaiTJAWz/Wooz9empWVqrMhXdXGe/D7zODWAc/n0DSv14xeP6au/fFV/9+6LvI6TNBRjAEBMnHM6PjCmfdMluH1Aezv61dozeuqaioJsXbCkWDetrdIFS4p0uHNYJXlZMqMIA+mkriyoj2xu1DefOqKKghz96ZtXLYivY4oxAOC3hCNRHekaPjUKvG/q956p6RCStLQiXxctKdHtl9drXU2R1lcXadFpP3I92+I7AKnv87es1VAorH94/JDGJiL6y7etzfhyTDEGgBQ020J5x6b6Wb/G97Yd1XAorIHRsDqHQuoaCqlzcPL3rqGQJiKTUyH8PtPiolwtq8jX5hUVqinO1eKiXOXMmBvc0Temjr6xWWcAkLp8PtOX33mhcgJ+3fv0EY2FI/rirRfIl8FToSjGAJDCos5pZDyisYnJX6FwVGMTEY2Ho4pEncJRp0jUaXBsQhORqMYjbvL3cFQTkejUbXfqdigcVfdQSCcHQzoxMKapacCSJJNUEsxSZWGOllXkq7okTzXFeaoszGFOMLBAmZn++h3rlJvl19d/fVhjE1H9/bsvyti/E2IqxmZ2s6T/Lckv6V7n3N+d9vEcSd+RdJmkbknvc841xzcqAGSeSNSpo39UzV0jau4e1tHuYbX3j2lPW78GxiY0MDrxuvJ6Nv+2p+PU7Wy/T9kBn7L8piy/T1mn3S8vyNHKqkJ1DoZUlBtQYW6WKgpzVJ6frSy/L4H/tQDSkZnpL25erbwsv7762Ks6eHxQH7yqQe+4uCbjdpUx5879N66Z+SW9KulNktokvSDp/c65fTOu+WNJFznn/sjMbpf0Tufc+871vBs3bnQ7duyYb/60Eo06jUxENBwKazwcPfX4lpfbJUl+v536huY7xxyeufzIFIB3xiYiOt4/ptbeETV3j6i5a7IAN3ePqKV7ROOR3/x9kBPwqaYkTyapOC9LRXlZKswNKC/Lr9wsv3KyfMoN+JUT8MnvM/l9poDvN7d9poyfAwggNonoCz/a2aZ/+vVhHTo5pOK8LP3uZbX6vSsbtLQiP+6vFU9mttM5t/F818UyYnyFpEPOuaapJ35I0m2S9s245jZJfzN1+4eS/sHMzJ2vdXvIuckfP0bd5I8q3dTvk7+kiUh06keX0VM/wjx1Ozx5e3QiopFQWMPjk2V3OBTWUCiskfGIhqbun347VgGfKTswWZKny3J2wKccv0/bj3QrPyeggqlfk7f9yj91e/KbaGB6tMjnU1Zg8ptntv83t7P8xjdQ4Bycm5yqEApHFZqIaDwSVWhicjpCKDw5nSEUjmp0PKK+0Qn1jYyrd2RcPcMT6h4KqaN/TB39o+oaGn/d8+Zm+dRYnq/llfm6ce0iNZbnq6E8qKUV+aoqzJXPZyxaA5CS3n1Zrd61YYm2NfXoe9uP6v5nm3Xv00e0qDBHyysLtKwyX8sqC9RYHlRxXpaC2dNdZbKn5AR8Kd09YinGSyS1zrjfJmnT2a5xzoXNrF9SuaSueISMl+eP9Oj2e56L6ceSs5Wf/Ztimp/jV352QFVFub8prdkBBWcU2Cy/T9OfFtuaeiRNfgMeD0/ODRyfmiN4+u3e0IReauk7VcJDM0ae52P6c9RO3bfT7k9//PUXnu3j8/mcn8s/p5zm9j91rv90m9Mfm/NrJe+/ba5fGnP5N/DcX2uOfzBJ/D5TaTBLZfnZqi7O0wVLilRTnKfqkjwtKcnT0op8LSrMyejFKwAym5npquXlump5uU4OjGnLrnbt7xhUU9eQfr67Q/2jE2f9s01ffuu8OkKixVKMzxT/9G9NsVwjM7tT0p1Td4fM7GAMr59uKpRi/yDIYLzXycH7nBy8z8nDe50cvM/Jc8b3+vc8CHI+/r/37KUbYrkolmLcJqluxv1aSe1nuabNzAKSiiX1nP5Ezrl7JN0TS7B0ZWY7YpnDgvnjvU4O3ufk4H1OHt7r5OB9Th7e6/iJZfnxC5JWmtlSM8uWdLukLadds0XSh6Zuv0fSr1J5fjEAAABwuvOOGE/NGf6UpEc0uV3bfc65vWb2RUk7nHNbJH1L0nfN7JAmR4pvT2RoAAAAIN5i2sfYObdV0tbTHvvCjNtjkn43vtHSVkZPFUkxvNfJwfucHLzPycN7nRy8z8nDex0n593HGAAAAFgIOOIIAAAAEMU4bsws18yeN7NdZrbXzP7W60yZzMz8ZvaSmf3c6yyZzMyazWyPmb1sZgvrqMokMrMSM/uhmR0ws/1mdpXXmTKNma2e+jye/jVgZp/zOlemMrP/NPW98BUze9DMcr3OlInM7LNT7/FePp/jg6kUcWKTJ2LkO+eGzCxL0tOSPuuc2+ZxtIxkZn8iaaOkIufc273Ok6nMrFnSRucce5EmkJl9W9JTzrl7p3b/CTrn+rzOlanMzC/pmKRNzrmjXufJNGa2RJPfA9c550bN7GFJW51z93ubLLOY2QWSHtLkCcXjkn4h6RPOudc8DZbmGDGOEzdpaOpu1tQv/tWRAGZWK+ltku71OgswX2ZWJOkaTe7uI+fcOKU44W6UdJhSnFABSXlTZxsE9dvnH2D+1kra5pwbcc6FJf1a0js9zpT2KMZxNPXj/ZclnZT0S+fcdq8zZaivSfpzSfE5Dxvn4iQ9amY7p06uRPwtk9Qp6Z+npgfda2b5XofKcLdLetDrEJnKOXdM0v+Q1CKpQ1K/c+5Rb1NlpFckXWNm5WYWlPRWvf5ANswBxTiOnHMR59wlmjwd8IqpH3Mgjszs7ZJOOud2ep1lgdjsnNsg6RZJnzSza7wOlIECkjZI+ifn3KWShiXd5W2kzDU1VeVWST/wOkumMrNSSbdJWiqpRlK+mX3A21SZxzm3X9LfS/qlJqdR7JIU9jRUBqAYJ8DUj0GfkHSzx1Ey0WZJt07NfX1I0g1m9j1vI2Uu51z71O8nJf1Ek3PZEF9tktpm/ITph5osykiMWyS96Jw74XWQDHaTpCPOuU7n3ISkH0t6g8eZMpJz7lvOuQ3OuWs0ecAa84vniWIcJ2ZWaWYlU7fzNPkXwwFvU2Ue59znnXO1zrlGTf449FfOOUYiEsDM8s2scPq2pDdr8kd3iCPn3HFJrWa2euqhGyXt8zBSpnu/mEaRaC2SrjSz4NTC9Bsl7fc4U0Yys0VTv9dLepf43J63mE6+Q0yqJX17arWzT9LDzjm2EkM6q5L0k8nvawpIesA59wtvI2WsT0v6/tSP+ZskfcTjPBlpah7mmyT9oddZMplzbruZ/VDSi5r80f5L4mS2RPmRmZVLmpD0Sedcr9eB0h3btQEAAABiKgUAAAAgiWIMAAAASKIYAwAAAJIoxgAAAIAkijEAAAAgiWIMAGnNzBrN7A6vcwBAJqAYA0B6a5REMQaAOGAfYwBIQWb2QUl/JslJ2i0pImlA0kZJiyX9uXPuh2a2TdJaSUckfds591WPIgNA2qMYA0CKMbP1kn4sabNzrsvMyiT9L0n5kt4naY2kLc65FWZ2naQ/c8693bPAAJAhmEoBAKnnBkk/dM51SZJzrmfq8X91zkWdc/s0eWQ3ACCOKMYAkHpMk1MoThc67RoAQBxRjAEg9fyHpPeaWbkkTU2lOJtBSYVJSQUAGS7gdQAAwOs55/aa2f8n6ddmFpH00jku3y0pbGa7JN3P4jsAmDsW3wEAAABiKgUAAAAgiWIMAAAASKIYAwAAAJIoxgAAAIAkijEAAAAgiWIMAAAASKIYAwAAAJIoxgAAAIAk6f8BWCC5Nl1Qb1EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#下面我们试试这里我们使用log变换\n",
    "fig = plt.figure(figsize=(12, 6))\n",
    "sns.distplot(np.log1p(data['cnt']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "log转换之后，数据分布比原始分布要差得多了，不考虑"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3数据处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1导入数据\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "训练数据和测试数据分割(请将 2012 年的数据作为测试数据)，(0: 2011, 1:2012)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.6/site-packages/sklearn/model_selection/_split.py:2026: FutureWarning: From version 0.21, test_size will always complement train_size unless both are specified.\n",
      "  FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# train_data = data[data['yr'] == 0]\n",
    "# test_data = data[data['yr'] == 1]\n",
    "\n",
    "# y_train_data = train_data['cnt']\n",
    "# X_train_data = train_data.drop('cnt', axis=1)\n",
    "# y_test_data = test_data['cnt']\n",
    "# X_test_data = test_data.drop('cnt', axis=1)\n",
    "\n",
    "train_data0, test_data0 = train_test_split(data[data['yr'] == 0], train_size=0.75)\n",
    "train_data1, test_data1 = train_test_split(data[data['yr'] == 1], train_size=0.75)\n",
    "\n",
    "y_train_data = np.hstack([train_data0['cnt'].values, train_data1['cnt'].values])\n",
    "y_test_data = np.hstack([test_data0['cnt'].values, test_data1['cnt'].values])\n",
    "X_train_data = np.vstack([train_data0.drop('cnt', axis=1).values, train_data1.drop('cnt', axis=1).values])\n",
    "X_test_data = np.vstack([test_data0.drop('cnt', axis=1).values, test_data1.drop('cnt', axis=1).values])\n",
    "\n",
    "columns = data.columns.drop('cnt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3标准化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "ss_y = StandardScaler()\n",
    "ss_X = StandardScaler()\n",
    "X_train = ss_X.fit_transform(X_train_data)\n",
    "X_test = ss_X.transform(X_test_data)\n",
    "\n",
    "# y_train = ss_y.fit_transform(y_train_data.values.reshape(-1, 1))\n",
    "# y_test = ss_y.transform(y_test_data.values.reshape(-1, 1))\n",
    "\n",
    "y_train = ss_y.fit_transform(y_train_data.reshape(-1, 1))\n",
    "y_test = ss_y.transform(y_test_data.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yr</td>\n",
       "      <td>[0.5181774563786261]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>temp</td>\n",
       "      <td>[0.488201260955652]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>season</td>\n",
       "      <td>[0.2736087991097556]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>weekday</td>\n",
       "      <td>[0.08881841325847123]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mnth</td>\n",
       "      <td>[-0.06635986207564164]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.0673531546550403]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.06737941604907412]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.11901061631708572]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>[-0.17928964494477884]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      columns                    coef\n",
       "1          yr    [0.5181774563786261]\n",
       "6        temp     [0.488201260955652]\n",
       "0      season    [0.2736087991097556]\n",
       "4     weekday   [0.08881841325847123]\n",
       "2        mnth  [-0.06635986207564164]\n",
       "7         hum   [-0.0673531546550403]\n",
       "3     holiday  [-0.06737941604907412]\n",
       "8   windspeed  [-0.11901061631708572]\n",
       "5  weathersit  [-0.17928964494477884]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "lr = LinearRegression()\n",
    "lr.fit(X_train, y_train)\n",
    "\n",
    "y_test_pred_lr = lr.predict(X_test)\n",
    "y_train_pred_lr = lr.predict(X_train)\n",
    "\n",
    "\n",
    "fs = pd.DataFrame({\"columns\": list(columns), \"coef\": list((lr.coef_.T))})\n",
    "fs.sort_values(by=['coef'], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 模型评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8128965065904271\n",
      "0.7889152008303951\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import r2_score\n",
    "\n",
    "print(r2_score(y_test, y_test_pred_lr))\n",
    "print(r2_score(y_train, y_train_pred_lr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(7, 5))\n",
    "f.tight_layout()\n",
    "ax.hist(y_train - y_train_pred_lr, bins=40, label='Residuals Linear', color='b', alpha=.5); \n",
    "ax.set_title(\"Histogram of Residuals\") \n",
    "ax.legend(loc='best');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 正则化的线性回归（L2正则 --> 岭回归）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8128965065904271\n",
      "0.7889152008303951\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import RidgeCV\n",
    "\n",
    "alphas = [0.01, 0.1, 1, 10, 100]\n",
    "ridge = RidgeCV(alphas=alphas, store_cv_values=True)\n",
    "ridge.fit(X_train, y_train)\n",
    "\n",
    "y_test_pred_ridge = ridge.predict(X_test)\n",
    "y_train_pred_ridge = ridge.predict(X_train)\n",
    "\n",
    "print(r2_score(y_test, y_test_pred_lr))\n",
    "print(r2_score(y_train, y_train_pred_lr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "mse_mean = np.mean(ridge.cv_values_, axis=0)\n",
    "plt.plot(np.log10(alphas), mse_mean.reshape(len(alphas), 1))\n",
    "plt.show()\n",
    "\n",
    "print(ridge.alpha_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef_lr</th>\n",
       "      <th>coef_ridge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yr</td>\n",
       "      <td>[0.5181774563786261]</td>\n",
       "      <td>[0.5172630846990725]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>temp</td>\n",
       "      <td>[0.488201260955652]</td>\n",
       "      <td>[0.4875655683733635]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>season</td>\n",
       "      <td>[0.2736087991097556]</td>\n",
       "      <td>[0.27222251153511734]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>weekday</td>\n",
       "      <td>[0.08881841325847123]</td>\n",
       "      <td>[0.08858264567000251]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mnth</td>\n",
       "      <td>[-0.06635986207564164]</td>\n",
       "      <td>[-0.06496668365739389]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.0673531546550403]</td>\n",
       "      <td>[-0.06736547633574919]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.06737941604907412]</td>\n",
       "      <td>[-0.06736983152583242]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.11901061631708572]</td>\n",
       "      <td>[-0.11893942563192716]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>[-0.17928964494477884]</td>\n",
       "      <td>[-0.17913729514718746]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      columns                 coef_lr              coef_ridge\n",
       "1          yr    [0.5181774563786261]    [0.5172630846990725]\n",
       "6        temp     [0.488201260955652]    [0.4875655683733635]\n",
       "0      season    [0.2736087991097556]   [0.27222251153511734]\n",
       "4     weekday   [0.08881841325847123]   [0.08858264567000251]\n",
       "2        mnth  [-0.06635986207564164]  [-0.06496668365739389]\n",
       "7         hum   [-0.0673531546550403]  [-0.06736547633574919]\n",
       "3     holiday  [-0.06737941604907412]  [-0.06736983152583242]\n",
       "8   windspeed  [-0.11901061631708572]  [-0.11893942563192716]\n",
       "5  weathersit  [-0.17928964494477884]  [-0.17913729514718746]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs = pd.DataFrame({\"columns\": list(columns), \"coef_lr\": list((lr.coef_.T)), \"coef_ridge\": list((ridge.coef_.T))})\n",
    "fs.sort_values(by=['coef_lr'], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.3 正则化的线性回归（L1正则 --> Lasso）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The r2 score of LassoCV on test is 0.8113964312062945\n",
      "The r2 score of LassoCV on train is 0.7878925873390616\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/coordinate_descent.py:1094: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LassoCV\n",
    "lasso = LassoCV()  \n",
    "lasso.fit(X_train, y_train)  \n",
    "y_test_pred_lasso = lasso.predict(X_test)\n",
    "y_train_pred_lasso = lasso.predict(X_train)\n",
    "\n",
    "print('The r2 score of LassoCV on test is', r2_score(y_test, y_test_pred_lasso))\n",
    "print('The r2 score of LassoCV on train is', r2_score(y_train, y_train_pred_lasso))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.008253940710895255\n"
     ]
    }
   ],
   "source": [
    "mses = np.mean(lasso.mse_path_, axis=1)\n",
    "plt.plot(np.log10(lasso.alphas_), mses)\n",
    "plt.show()\n",
    "\n",
    "print(lasso.alpha_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef_lr</th>\n",
       "      <th>coef_ridge</th>\n",
       "      <th>coef_lasso</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yr</td>\n",
       "      <td>[0.5181774563786261]</td>\n",
       "      <td>0.510820</td>\n",
       "      <td>0.510820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>temp</td>\n",
       "      <td>[0.488201260955652]</td>\n",
       "      <td>0.486277</td>\n",
       "      <td>0.486277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>season</td>\n",
       "      <td>[0.2736087991097556]</td>\n",
       "      <td>0.232752</td>\n",
       "      <td>0.232752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>weekday</td>\n",
       "      <td>[0.08881841325847123]</td>\n",
       "      <td>0.080587</td>\n",
       "      <td>0.080587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mnth</td>\n",
       "      <td>[-0.06635986207564164]</td>\n",
       "      <td>-0.024336</td>\n",
       "      <td>-0.024336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.0673531546550403]</td>\n",
       "      <td>-0.060457</td>\n",
       "      <td>-0.060457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.06737941604907412]</td>\n",
       "      <td>-0.061332</td>\n",
       "      <td>-0.061332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.11901061631708572]</td>\n",
       "      <td>-0.110290</td>\n",
       "      <td>-0.110290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>[-0.17928964494477884]</td>\n",
       "      <td>-0.177319</td>\n",
       "      <td>-0.177319</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      columns                 coef_lr  coef_ridge  coef_lasso\n",
       "1          yr    [0.5181774563786261]    0.510820    0.510820\n",
       "6        temp     [0.488201260955652]    0.486277    0.486277\n",
       "0      season    [0.2736087991097556]    0.232752    0.232752\n",
       "4     weekday   [0.08881841325847123]    0.080587    0.080587\n",
       "2        mnth  [-0.06635986207564164]   -0.024336   -0.024336\n",
       "7         hum   [-0.0673531546550403]   -0.060457   -0.060457\n",
       "3     holiday  [-0.06737941604907412]   -0.061332   -0.061332\n",
       "8   windspeed  [-0.11901061631708572]   -0.110290   -0.110290\n",
       "5  weathersit  [-0.17928964494477884]   -0.177319   -0.177319"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs = pd.DataFrame({\"columns\": list(columns), \"coef_lr\": list((lr.coef_.T)), \"coef_ridge\": list((lasso.coef_.T)), \"coef_lasso\": list((lasso.coef_.T))})\n",
    "fs.sort_values(by=['coef_lr'], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 总结"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从上图可以看出，气温、年份影响自行车租赁的数量"
   ]
  }
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